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npj Digital Medicine, Volume 7
Volume 7, Number 1, 2024
- Kyung Hwa Lee
, Gwang Hyeon Choi, Jihye Yun
Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. - Eunjung Lee
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure. - Bing Li, Huan Chen, Weihong Yu, Ming Zhang, Fang Lu, Jingxue Ma, Yuhua Hao, Xiaorong Li, Bojie Hu, Lijun Shen, Jianbo Mao, Xixi He, Hao Wang, Dayong Ding, Xirong Li, Youxin Chen:
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial. - Alan Godfrey
UK funding agency launches digital health hubs: a new catalyst for change? - Shuzhi Zhao, Guangyan Dai, Jingting Li, Xiaoxia Zhu, Xiyan Huang, Yongxue Li, Mingdan Tan, Lan Wang, Peng Fang
An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG. - Aaron T. C. Chan
Computerized cognitive training for memory functions in mild cognitive impairment or dementia: a systematic review and meta-analysis. - Ashkan Dehghani Zahedani, Tracey McLaughlin, Arvind Veluvali, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder
Correction: Digital health application integrating wearable data and behavioral patterns improves metabolic health. - Alexander Capstick
Digital remote monitoring for screening and early detection of urinary tract infections. - Marco Guevara, Shan Chen
Large language models to identify social determinants of health in electronic health records. - Michael Putzier
Implementation of cloud computing in the German healthcare system. - Amruta Pai
Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes. - Martin Dugas
Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision support. - Jing Wang
Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson's disease: a systematic review and meta-analysis. - Daniel C. Baumgart
An intriguing vision for transatlantic collaborative health data use and artificial intelligence development. - Hanyin Wang
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients. - Mateo Aboy
Beyond the 510(k): The regulation of novel moderate-risk medical devices, intellectual property considerations, and innovation incentives in the FDA's De Novo pathway. - Kaushik P. Venkatesh
Deep learning models across the range of skin disease. - Wenjianlong Zhou, Zhongyan Wang, Qin Xu, Xiangxiang Liu, Junshi Li, Huaiqiang Yu, Hui Qiao, Lirui Yang, Liangpeng Chen, Yuan Zhang, Zhe Huang, Yuxing Pang, Zhitong Zhang, Jiayan Zhang, Xiudong Guan, Shunchang Ma, Yingjie Ren, Xiaoyi Shi, Linhao Yuan, Deling Li
Wireless facial biosensing system for monitoring facial palsy with flexible microneedle electrode arrays. - David A. Simon
Using digital technologies to diagnose in the home: recommendations from a Delphi panel. - Serena C. Y. Wang
AI-based diabetes care: risk prediction models and implementation concerns. - Ali Abedi, Tracey J. F. Colella, Maureen Pakosh, Shehroz S. Khan
Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review. - Aubrey A. Shick
Transparency of artificial intelligence/machine learning-enabled medical devices. - Yue Shen, Huanyu Li, Can Sun, Hongtao Ji, Daojun Zhang, Kun Hu, Yiqi Tang, Yu Chen, Zikun Wei
Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques. - Shobha Dasari
Opportunities for CMS to improve healthcare access and equity through advancing technology-enabled startups and digital health innovations. - Brennan M. R. Spiegel, Omer Liran, Allistair Clark, Jamil S. Samaan, Carine Khalil
Feasibility of combining spatial computing and AI for mental health support in anxiety and depression. - Thomas Savage
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine. - Aaron Boussina
Impact of a deep learning sepsis prediction model on quality of care and survival. - Tran Anh Tuan
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. - Bastien Lechat
Regular snoring is associated with uncontrolled hypertension. - Sarah K. Schäfer
Digital interventions to promote psychological resilience: a systematic review and meta-analysis. - Ruoyu Chen
Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening. - Yibo Zhang, Zijian Yang, Ruanqi Chen, Yanli Zhu, Li Liu, Jiyan Dong, Zicheng Zhang, Xujie Sun, Jianming Ying
Histopathology images-based deep learning prediction of prognosis and therapeutic response in small cell lung cancer. - Cristian David Ríos-Urrego
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach. - Robert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. - Yu-Yuan Yang
FastEval Parkinsonism: an instant deep learning-assisted video-based online system for Parkinsonian motor symptom evaluation. - Soumik Mandal
Quantifying the impact of telemedicine and patient medical advice request messages on physicians' work-outside-work. - Stephen Gilbert
Citizen data sovereignty is key to wearables and wellness data reuse for the common good. - Andrew P. Creagh
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. - Karin R. Jongsma
Why we should not mistake accuracy of medical AI for efficiency. - Christina Schulte
Internet- and mobile-based psychological interventions for post-traumatic stress symptoms in youth: a systematic review and meta-analysis. - Elma Dervic, Johannes Sorger, Liuhuaying Yang, Michael Leutner, Alexander Kautzky, Stefan Thurner, Alexandra Kautzky-Willer, Peter Klimek:
Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks. - Yawei Li
Informing immunotherapy with multi-omics driven machine learning. - Karnika Singh
Physical activity and sleep changes among children during the COVID-19 pandemic. - Hana Bangash
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. - Yong Yang Yan
Technology-supported behavior change interventions for reducing sodium intake in adults: a systematic review and meta-analysis. - Vera Birrer
Evaluating reliability in wearable devices for sleep staging. - Thomas A. Lasko
Why do probabilistic clinical models fail to transport between sites. - Chao Yan
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation. - Li Wang
Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs. - Md. Mobashir Hasan Shandhi
Assessment of ownership of smart devices and the acceptability of digital health data sharing. - Christine Manta Campbell
An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection. - Shkurta Gashi
Modeling multiple sclerosis using mobile and wearable sensor data. - Jethro C. C. Kwong
Integrating artificial intelligence into healthcare systems: more than just the algorithm. - James M. Hillis
The lucent yet opaque challenge of regulating artificial intelligence in radiology. - Christopher J. Duckworth
Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance. - Yueye Wang, Chi Liu
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case. - Julie C. Lauffenburger
The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. - Jay A. Pandit
The hospital at home in the USA: current status and future prospects. - Zoë W. Hawks
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes. - Marium M. Raza
Generative AI and large language models in health care: pathways to implementation. - Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. - Rohaid Ali
Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. - Khaled Saab
Towards trustworthy seizure onset detection using workflow notes. - Dylan Powell
Walk, talk, think, see and feel: harnessing the power of digital biomarkers in healthcare. - Mihir A. Kelshiker, Karanjot Chhatwal
From ether to ethernet: ensuring ethical policy in digital transformation of waitlist triage for cardiovascular procedures. - Simon Hanassab
The prospect of artificial intelligence to personalize assisted reproductive technology. - Loran Knol
Smartphone keyboard dynamics predict affect in suicidal ideation. - Jason Moore
Contextualizing remote fall risk: Video data capture and implementing ethical AI. - Brennan M. R. Spiegel, Omer Liran, Allistair Clark, Jamil S. Samaan, Carine Khalil, Robert Chernoff, Kavya Reddy, Muskaan Mehra
Author Correction: Feasibility of combining spatial computing and AI for mental health support in anxiety and depression. - Teyl Engstrom
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review. - Lisa Weik
Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis. - Brunilda Balliu
Personalized mood prediction from patterns of behavior collected with smartphones. - Davy van de Sande
To warrant clinical adoption AI models require a multi-faceted implementation evaluation. - Mahyar Abbasian
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. - Kayo Waki
Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial. - Raluca Balan
Use of automated conversational agents in improving young population mental health: a scoping review. - Jan-Niklas Eckardt
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. - Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari
Digital twins for health: a scoping review. - Nikita Mehandru
Evaluating large language models as agents in the clinic. - Isabelle Krakowski, Jiyeong Kim
Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis. - William Boag, Alifia Hasan
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. - Neil A. Busis
Navigating the U.S. regulatory landscape for neurologic digital health technologies. - Dylan Powell
The dichotomy of diagnostics: exploring the value for consumers, clinicians and care pathways. - Christina Silcox
The potential for artificial intelligence to transform healthcare: perspectives from international health leaders. - Harriet Evans
Understanding the errors made by artificial intelligence algorithms in histopathology in terms of patient impact. - Garrett Skinner
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery. - Simone Kresevic, Mauro Giuffrè
Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework. - Hang Yuan
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. - David Berron
A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices. - Stephen Gilbert
Can we learn from an imagined ransomware attack on a hospital at home platform? - Jethro C. C. Kwong
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI. - Laura Maaß
International perspectives on measuring national digital public health system maturity through a multidisciplinary Delphi study. - Anlin Luo
Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment. - Matteo Salvador
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations. - Rohaid Ali
Author Correction: Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. - Audrey Lee
Levels of autonomy in FDA-cleared surgical robots: a systematic review. - Stephanie L. McNamara, Paul H. Yi
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. - Ze Jin, Taehyun Hwang, Daehoon Kim, Byounghyun Lim, Oh-Seok Kwon
Anti- and pro-fibrillatory effects of pulmonary vein isolation gaps in human atrial fibrillation digital twins. - Neal Yuan
Deep learning evaluation of echocardiograms to identify occult atrial fibrillation. - Sulaiman Somani
Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence. - Bing Zhai, Greg J. Elder, Alan Godfrey
Challenges and opportunities of deep learning for wearable-based objective sleep assessment. - Alessia Maccaro
Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience. - Stephen Gilbert
Augmented non-hallucinating large language models as medical information curators. - Kaushik P. Venkatesh
Learnings from the first AI-enabled skin cancer device for primary care authorized by FDA. - Joyce Y. C. Chan
Exergaming and cognitive functions in people with mild cognitive impairment and dementia: a meta-analysis. - Shuyan Liu
Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial. - Rebecca Mathias, Peter McCulloch
How can regulation and reimbursement better accommodate flexible suites of digital health technologies? - Ben Singh
A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours. - Zixiao Yin
Generalized sleep decoding with basal ganglia signals in multiple movement disorders. - Lin Lawrence Guo, Jason Alan Fries
A multi-center study on the adaptability of a shared foundation model for electronic health records. - Hang Yuan
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality. - Esten H. Leonardsen
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence. - M. Eric Hyndman, Robert J. Paproski, Adam Kinnaird, Adrian Fairey, Leonard S. Marks, Christian P. Pavlovich, Sean A. Fletcher, Roman Zachoval, Vanda Adamcova, Jiri Stejskal, Armen Aprikian, Christopher J. D. Wallis
Development of an effective predictive screening tool for prostate cancer using the ClarityDX machine learning platform. - Alexandra Valetopoulou
Can artificial intelligence improve medicine's uncomfortable relationship with Maths? - Maximilian U. Friedrich
Validation and application of computer vision algorithms for video-based tremor analysis. - Silvan Hornstein
Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing. - Federico Mason
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment. - Jesse F. Phipps, Bryant Passage
Early adverse physiological event detection using commercial wearables: challenges and opportunities. - Ziyi Qi
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. - Robert Kaczmarczyk
Evaluating multimodal AI in medical diagnostics. - Joschka Haltaufderheide
The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs). - Daniel Schwabe
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review. - Libor Pastika
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. - Juzhao Zhang
RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis. - Weishan Zhang
Wearable sensor-based quantitative gait analysis in Parkinson's disease patients with different motor subtypes. - Mengyi Liu, Xianhui Qin
Reply to: Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease: need more evidence. - Jethro C. C. Kwong
The long but necessary road to responsible use of large language models in healthcare research. - Hanwen Wang
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling. - Assaf Zadka, Neta Rabin, Eran Gazit, Anat Mirelman, Alice Nieuwboer, Lynn Rochester, Silvia Del Din
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders. - Aurélie Pahud de Mortanges
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. - Chang Su
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Claire Garnett
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app? - Sarah Wilson
Recommendations to advance digital health equity: a systematic review of qualitative studies. - Stephen Gilbert
The EU passes the AI Act and its implications for digital medicine are unclear. - Elham Hatef
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review. - Siddharth Mangalik
Robust language-based mental health assessments in time and space through social media. - Zeshan M. Hussain, Edward De Brouwer, Rebecca Boiarsky
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma. - Maria Paz Salinas
Author Correction: A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. - Mei-di Shen, Si-bing Chen, Xiang-dong Ding
The effectiveness of digital twins in promoting precision health across the entire population: a systematic review. - Naveenah Udaya Surian, Arsen O. Batagov
A digital twin model incorporating generalized metabolic fluxes to identify and predict chronic kidney disease in type 2 diabetes mellitus. - Aidan Gilson
Computationally derived transition points across phases of clinical care. - Mukund Poddar, Jayson S. Marwaha
An operational guide to translational clinical machine learning in academic medical centers. - Zonghe Xu, Lin Zhou, Bin Han, Shuang Wu, Yanjun Xiao, Sihui Zhang, Jiang Chen, Jianbin Guo
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study. - Valentina Bellemo, Ankit Kumar Das, Syna Sreng
Optical coherence tomography choroidal enhancement using generative deep learning. - Linea Schmidt
The three-year evolution of Germany's Digital Therapeutics reimbursement program and its path forward. - Li-Hua Chen
Association of accelerometer-measured physical activity and incident Parkinson's disease: insights and future research directions. - Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath
Quantifying impairment and disease severity using AI models trained on healthy subjects. - Ashley Cordes, Marieke Ar Bak, Mataroria P. Lyndon, Maui Hudson, Amelia Fiske, Leo Anthony Celi, Stuart McLennan
Competing interests: digital health and indigenous data sovereignty. - Devin M. Mann
From silos to synergy: integrating academic health informatics with operational IT for healthcare transformation. - Jiyeong Kim
Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder. - Raúl López-Izquierdo, Carlos del Pozo Vegas
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs. - Aaron Boussina
Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival. - Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data. - Lathan Liou
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. - Jules M. Janssen Daalen
Digital biomarkers for non-motor symptoms in Parkinson's disease: the state of the art. - Maria Paz Salinas
A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. - Zonghe Xu, Lin Zhou, Bin Han, Shuang Wu, Yanjun Xiao, Sihui Zhang, Jiang Chen, Jianbin Guo
Author Correction: Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study. - Rebecca Mathias, Peter McCulloch
Digital health technologies need regulation and reimbursement that enable flexible interactions and groupings. - Jingwei Huang
A critical assessment of using ChatGPT for extracting structured data from clinical notes. - Arun James Thirunavukarasu
A validated web-application (GFDC) for automatic classification of glaucomatous visual field defects using Hodapp-Parrish-Anderson criteria. - Ahmet Gorkem Er
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. - Henrik Podéus
A physiologically-based digital twin for alcohol consumption - predicting real-life drinking responses and long-term plasma PEth. - Paola Daniore
From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal. - Sun Joo Grace Ahn
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children. - Ji Hyeun Park
FDA-cleared home sleep apnea testing devices. - Fabin Lin, Yixiang Lin
Association of physical activity pattern and risk of Parkinson's disease. - Robert L. Peach
Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning. - Hang Yuan
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality. - Jane J. Huang
Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations. - Ho-Joon Lee
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records. - Cedric Walker
PatchSorter: a high throughput deep learning digital pathology tool for object labeling. - Sara Isernia
Exploring cognitive reserve's influence: unveiling the dynamics of digital telerehabilitation in Parkinson's Disease Resilience. - Zhongwen Li
Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study. - Ching-Wei Wang
Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer. - Zijun Cui, Runzhuo Ma, Cherine Yang, Anand Malpani, Timothy N. Chu, Ahmed Ghazi, John W. Davis, Brian J. Miles, Clayton Lau, Yan Liu, Andrew J. Hung
Capturing relationships between suturing sub-skills to improve automatic suturing assessment. - Rudi Agius, Anders C. Riis-Jensen, Bettina Wimmer
Deployment and validation of the CLL treatment infection model adjoined to an EHR system. - Maria Balaet
Online cognitive monitoring technology for people with Parkinson's disease and REM sleep behavioural disorder. - Lisa M. Koch
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study. - Aarzoo Dhiman, Elad Yom-Tov
Estimating the household secondary attack rate and serial interval of COVID-19 using social media. - Constantin Landers, Alessandro Blasimme
Sync fast and solve things - best practices for responsible digital health. - Suvekshya Aryal
Patient-centricity in digital measure development: co-evolution of best practice and regulatory guidance. - Xiaolan Chen
FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer. - Qiao Jin
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. - Jing Wang
The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis. - Nora Castner
Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study. - Sunil Vasu Kalmady
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level. - Michel E. van Genderen
Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency. - Kayo Waki
Author Correction: Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial. - Fiona Tea, Adam M. R. Groh, Colleen Lacey, Afolasade Fakolade
A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis. - Abrar Majeedi
Deep learning to quantify care manipulation activities in neonatal intensive care units. - Donnchadh O'Sullivan
Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal development. - Varun K. Viswanath
Five million nights: temporal dynamics in human sleep phenotypes. - Constance Dubois
Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images. - Le Peng
An in-depth evaluation of federated learning on biomedical natural language processing for information extraction. - Si Ying Tan
A systematic review of the impacts of remote patient monitoring (RPM) interventions on safety, adherence, quality-of-life and cost-related outcomes. - Élodie Labrecque Langlais
Evaluation of stenoses using AI video models applied to coronary angiography. - Myura Nagendran
Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations. - Clare McGenity
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy. - Gabriela Retamales
Towards automatic home-based sleep apnea estimation using deep learning. - Jinjoo Shim
Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan. - Elizabeth Goldberg
UCHealth's virtual health center: How Colorado's largest health system creates and integrates technology into patient care. - Santi Di Pietro, Ilaria Ferrari, Giuseppe Bulgari, Maria Lorenza Muiesan, Francesco Falaschi, Annalisa De Silvestri, Luigia Scudeller, Valeria Musella, Simone Saglio, Beatrice Re, Elena Mattiuzzo, Fabio Cherubini, Stefano Perlini, Clelia Alvich, Ernesto Anesi, Valentina Angeli, Bruno Barcella, Marco Bonzano, Maria Antonietta Bressan, Domenica Federica Briganti, Francesca Burlon, Valentina Carosio, Iride Ceresa, Giuseppe Crescenzi, Roberta Guarnone, Barbara Guglielmana, Elisa Lainu, Elena Lago, Elena Maggi, Ilaria Malfasi, Ilaria Francesca Martino, Maria Mascolo, Giuseppe Mignosa, Ciro Paolillo, Pietro Pettenazza, Francesco Salinaro, Francesco Speciale, Ilaria Zunino:
Video clips for patient comprehension of atrial fibrillation and deep vein thrombosis in emergency care. A randomised clinical trial. - Vanessa R. Weir
A survey of skin tone assessment in prospective research. - Felipe Contreras-Briceño
Estimation of ventilatory thresholds during exercise using respiratory wearable sensors. - Lea Goetz, Nabeel Seedat
Generalization - a key challenge for responsible AI in patient-facing clinical applications. - Faris F. Gulamali
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. - Gül Erdemli
Regulatory considerations for developing remote measurement technologies for Alzheimer's disease research. - Klavdiia Naumova
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images. - Gongbo Zhang, Qiao Jin
Closing the gap between open source and commercial large language models for medical evidence summarization. - Liyang Liu, Haibo Wang
Dose-response relationship between computerized cognitive training and cognitive improvement. - Daniel H. Pak
Robust automated calcification meshing for personalized cardiovascular biomechanics. - Hanjin Park, Oh-Seok Kwon, Jaemin Shim, Daehoon Kim, Je-Wook Park, Yun-Gi Kim, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Jong-Il Choi, Boyoung Joung, Moon-Hyoung Lee, Hui-Nam Pak:
Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation. - Junmo Kim
Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records. - Lauryn Keeler Bruce, Dalila González
Biometrics of complete human pregnancy recorded by wearable devices. - Hossein Akbarialiabad, Amirmohammad Pasdar
Digital twins in dermatology, current status, and the road ahead. - Daniel Reichenpfader
A scoping review of large language model based approaches for information extraction from radiology reports. - Stefanie Brückner
FDA launches health care at home initiative to drive equity in digital medical care. - Megan Coder
Core elements of national policy for digital health technology evidence and access. - Cyril Brzenczek
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Gregory Holste
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Visar Berisha
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology. - Jane J. Huang
Author Correction: Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations. - Saki Amagai, Edward Vonesh, James Adams, Yuan Luo
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era. - Gregory Holste
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. - Teodora Lalova-Spinks
EU-US data transfers: an enduring challenge for health research collaborations. - Antonis Valachis, Henrik Lindman:
Lessons learned from an unsuccessful decentralized clinical trial in Oncology. - Serena C. Y. Wang
Health equity through CMS collaboration with startups and digital health innovations. - Joy Jiang
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. - Ying Xu, Chi Zhang
A portable and efficient dementia screening tool using eye tracking machine learning and virtual reality. - Rui Yang
Disparities in clinical studies of AI enabled applications from a global perspective. - James Truslow, Angela Spillane
Understanding activity and physiology at scale: The Apple Heart & Movement Study. - Zitian Liu
Cost-effectiveness of incorporating self-imaging optical coherence tomography into fundus photography-based diabetic retinopathy screening. - Yue-meng Sun, Zhi-yun Wang, Yuan-yuan Liang, Chen-wei Hao, Chang-he Shi
Digital biomarkers for precision diagnosis and monitoring in Parkinson's disease. - Jelena Schmidt, Nienke M. Schutte, Stefan Buttigieg
Mapping the regulatory landscape for artificial intelligence in health within the European Union. - Cyrus Tanade
Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins. - Felix Busch
Navigating the European Union Artificial Intelligence Act for Healthcare. - Benjamin Rader, Neil K. R. Sehgal, Julie Michelman
Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study. - Sergey Protserov, Jaryd Hunter
Development, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support. - João Guerreiro
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises. - Lena Christine Zuchowski, Matthias L. Zuchowski
A trust based framework for the envelopment of medical AI. - Agata Blasiak
Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial. - Mateo Aboy
Navigating the EU AI Act: implications for regulated digital medical products. - Adéla Plechatá
A randomized controlled trial investigating experiential virtual reality communication on prudent antibiotic use. - Vijaytha Muralidharan, Boluwatife Adeleye Adewale, Caroline J. Huang, Mfon Thelma Nta, Peter Oluwaduyilemi Ademiju, Pirunthan Pathmarajah, Man Kien Hang, Oluwafolajimi Adesanya, Ridwanullah Olamide Abdullateef, Abdulhammed Opeyemi Babatunde, Abdulquddus Ajibade, Sonia Onyeka, Zhou Ran Cai, Roxana Daneshjou, Tobi Olatunji:
A scoping review of reporting gaps in FDA-approved AI medical devices. - Isabella C. Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero
Privacy-preserving large language models for structured medical information retrieval. - Pawel Renc
Zero shot health trajectory prediction using transformer. - Yosra Magdi Mekki, Osman Hassan Ahmed, Dyllan Powell
Games Wide Open to athlete partnership in building artificial intelligence systems. - Tamsin J. Robb
Blending space and time to talk about cancer in extended reality. - Katharina Wenderott
Effects of artificial intelligence implementation on efficiency in medical imaging - a systematic literature review and meta-analysis. - William R. Hersh, Kate Fultz Hollis
Results and implications for generative AI in a large introductory biomedical and health informatics course. - Jia Wei Koh
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology. - Andrew Quanbeck, Ming-Yuan Chih, Linda Park, Xiang Li
A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder. - Yuehua Liu
Regulatory responses and approval status of artificial intelligence medical devices with a focus on China. - Mila Nambiar
A drug mix and dose decision algorithm for individualized type 2 diabetes management. - Bonnie T. Chao, Andrew T. Sage, Micheal C. McInnis, Jun Ma, Micah Grubert Van Iderstine, Xuanzi Zhou, Jerome Valero, Marcelo Cypel, Mingyao Liu, Bo Wang, Shaf Keshavjee:
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs. - Grace Nickel, Serena C. Y. Wang, Jethro C. C. Kwong, Joseph C. Kvedar:
The case for inclusive co-creation in digital health innovation. - Veronica Cabreira
Systematic review and meta-analysis of standalone digital interventions for cognitive symptoms in people without dementia. - Rosanna Tarricone
Author Correction: Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning. - Jennifer M. Radin
Long-term changes in wearable sensor data in people with and without Long Covid. - Yan-Bing Huang
An indirect treatment comparison meta-analysis of digital versus face-to-face cognitive behavior therapy for headache. - Karin Slater, Paul N. Schofield
Talking about diseases; developing a model of patient and public-prioritised disease phenotypes. - Xiaodi Liu
Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models. - Maarten Z. Kolk, Diana My Frodi, Joss Langford, Tariq O. Andersen, Peter Karl Jacobsen, Niels Risum, Hanno L. Tan, Jesper Hastrup Svendsen, Reinoud Knops, Søren Zöga Diederichsen, Fleur V. Y. Tjong:
Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias. - Alexander Diel, Isabel Carolin Schröter, Anna-Lena Frewer, Christoph Jansen, Anita Robitzsch, Gertraud Gradl-Dietsch, Martin Teufel, Alexander Bäuerle:
A systematic review and meta analysis on digital mental health interventions in inpatient settings. - Xinyu Zhao, Xingwang Gu, Lihui Meng, Yongwei Chen, Qing Zhao, Shiyu Cheng, Wenfei Zhang, Tiantian Cheng, Chuting Wang, Zhengming Shi, Shengyin Jiao, Changlong Jiang, Guofang Jiao, Da Teng, Xiaolei Sun, Bilei Zhang, Yakun Li, Huiqin Lu, Changzheng Chen, Hao Zhang, Ling Yuan, Chang Su, Han Zhang, Song Xia, Anyi Liang, Mengda Li, Dan Zhu, Meirong Xue, Dawei Sun, Qiuming Li, Ziwu Zhang, Donglei Zhang, Hongbin Lv, Rishet Ahmat, Zilong Wang, Charumathi Sabanayagam
Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images. - Dong Hyun Choi
Individualized decision making in on-scene resuscitation time for out-of-hospital cardiac arrest using reinforcement learning. - Hendrik Ballhausen
Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. - Rosanna Tarricone
Towards harmonizing assessment and reimbursement of digital medical devices in the EU through mutual learning. - Jojanneke M. T. M. Drogt, Megan M. Milota, Anne van den Brink, Karin R. Jongsma:
Ethical guidance for reporting and evaluating claims of AI outperforming human doctors. - Albert Navarro-Gallinad, Fabrizio Orlandi, Jennifer Scott, Enock Havyarimana, Neil Basu, Mark A. Little, Declan O'Sullivan:
Enabling data linkages for rare diseases in a resilient environment with the SERDIF framework. - Thomas Yu Chow Tam, Sonish Sivarajkumar
A framework for human evaluation of large language models in healthcare derived from literature review. - Soo Bin Yoon, Jipyeong Lee, Hyung-Chul Lee
Comparison of NLP machine learning models with human physicians for ASA Physical Status classification. - Dylan Powell, Fanny Burrows, Geraint Lewis, Stephen Gilbert:
How might Hospital at Home enable a greener and healthier future? - Alan Balendran
Algorithmovigilance, lessons from pharmacovigilance. - Enrico Ferrea
Machine learning explains response variability of deep brain stimulation on Parkinson's disease quality of life. - Prakash Adekkanattu
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs. - Anya Skatova
Overcoming biases of individual level shopping history data in health research. - Jack Gallifant
Ethical debates amidst flawed healthcare artificial intelligence metrics. - Manuela Fritz, Michael Grimm, Ingmar Weber
Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users. - Niels T. B. Scholte
A scoping review on advancements in noninvasive wearable technology for heart failure management.
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