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npj Digital Medicine, Volume 3
Volume 3, 2020
- Michelle Yuen Ting Yip, Gilbert Lim
, Zhan Wei Lim, Quang Duc Nguyen, Crystal C. Y. Chong, Marco Yu
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. - Siddharth R. Krishnan, Hany M. Arafa
Continuous, noninvasive wireless monitoring of flow of cerebrospinal fluid through shunts in patients with hydrocephalus. - Imogen S. Stafford
A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases. - Adam B. Cohen
A digital health industry cohort across the health continuum. - Pierre Philip
Trust and acceptance of a virtual psychiatric interview between embodied conversational agents and outpatients. - Yuxing Tang
Automated abnormality classification of chest radiographs using deep convolutional neural networks. - Wade L. Schulz
Agile analytics to support rapid knowledge pipelines. - Mark P. Sendak
Presenting machine learning model information to clinical end users with model facts labels. - Kevin de Haan, Hatice Ceylan Koydemir
Automated screening of sickle cells using a smartphone-based microscope and deep learning. - Anuraag A. Vazirani
Blockchain vehicles for efficient Medical Record management. - Kenneth D. Mandl
Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface. - Michael Kelley Erb
mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease. - Sarah Lagan
Actionable health app evaluation: translating expert frameworks into objective metrics. - Brinnae Bent, Benjamin Goldstein, Warren A. Kibbe
Investigating sources of inaccuracy in wearable optical heart rate sensors. - Liam G. McCoy
What do medical students actually need to know about artificial intelligence? - Katherine E. Lewinter, Sharon M. Hudson, Lynn Kysh
Reconsidering reviews: the role of scoping reviews in digital medicine and pediatrics. - James A. Shaw
Social license for the use of big data in the COVID-19 era. - Katsunori Masaki
A randomized controlled trial of a smoking cessation smartphone application with a carbon monoxide checker. - Jeremy T. Moreau
Individual-patient prediction of meningioma malignancy and survival using the Surveillance, Epidemiology, and End Results database. - Erping Long
Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing. - Pranav Rajpurkar
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV. - Viktor Tóth
Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model. - Hanna Drimalla
Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). - Shivam Kalra
Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence. - Raheel Sayeed
SMART Markers: collecting patient-generated health data as a standardized property of health information technology. - Jessica K. Paulus, David M. Kent
Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities. - Omer T. Inan, P. Tenaerts, Sheila A. Prindiville, H. R. Reynolds, D. S. Dizon, K. Cooper-Arnold, Mintu P. Turakhia, Mark J. Pletcher, Kenzie L. Preston, Harlan M. Krumholz
Digitizing clinical trials. - William J. Gordon, Adam B. Landman, Haipeng (Mark) Zhang, David W. Bates:
Beyond validation: getting health apps into clinical practice. - Jordan Alpert
Secondary care provider attitudes towards patient generated health data from smartwatches. - Brian J. Levine
A care team-based classification and population management schema for connected diabetes care. - Kyan C. Safavi, Adam B. Cohen
Health systems as venture capital investors in digital health: 2011-2019. - Narges Razavian
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. - Shih-Cheng Huang
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Catherine P. Adans-Dester
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery. - Rebecca M. Jones
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. - Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi
Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. - Adam Sadilek
Lymelight: forecasting Lyme disease risk using web search data. - Julie Redfern
A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial. - Steven Allender
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing. - Niranjan Sridhar
Deep learning for automated sleep staging using instantaneous heart rate. - Abhishek Pratap
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants. - Alicia L. Nobles
Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants. - Charlotte Schubert
Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease. - Adam R. Carr, Yash H. Patel, Charles R. Neff, Sadaf Charkhabi, Nathaniel E. Kallmyer, Hector F. Angus, Nigel F. Reuel
Sweat monitoring beneath garments using passive, wireless resonant sensors interfaced with laser-ablated microfluidics. - Kimberly Noel
Inclusive innovation in telehealth. - Terje B. Holmlund
Applying speech technologies to assess verbal memory in patients with serious mental illness. - Chaohui Guo, Hutan Ashrafian
Challenges for the evaluation of digital health solutions - A call for innovative evidence generation approaches. - Andrew Ward
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population. - John S. Brownstein, Adam D. Nahari
Internet search patterns reveal firearm sales, policies, and deaths. - Aravind Natarajan
Assessment of physiological signs associated with COVID-19 measured using wearable devices. - Bertalan Meskó
A short guide for medical professionals in the era of artificial intelligence. - Jennifer C. Goldsack, Andrea R. Coravos
Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs). - Arunima Roy, Katerina Nikolitch
A machine learning approach predicts future risk to suicidal ideation from social media data. - Daniel C. Baumgart
Digital advantage in the COVID-19 response: perspective from Canada's largest integrated digitalized healthcare system. - Zachary S. Ballard, Hyou-Arm Joung
Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors. - Fabian Lenhard
Long-term outcomes of therapist-guided Internet-delivered cognitive behavior therapy for pediatric obsessive-compulsive disorder. - Derek Richards
A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety. - Tânia Pereira
Photoplethysmography based atrial fibrillation detection: a review. - Dong-Ju Choi
Artificial intelligence for the diagnosis of heart failure. - Stephen K. Woody, David Burdick, Hilmar Lapp
Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare. - Charlotte Syrykh
Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning. - Christine M. Cutillo, Karlie R. Sharma
Machine intelligence in healthcare - perspectives on trustworthiness, explainability, usability, and transparency. - Ben Moscovitch, John D. Halamka, Shaun J. Grannis
Better patient identification could help fight the coronavirus. - Gabriela Stegmann
Author Correction: Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis. - Amarnath R. Annapureddy
The National Institutes of Health funding for clinical research applying machine learning techniques in 2017. - Matthew M. Engelhard, Jason A. Oliver, F. Joseph McClernon
Digital envirotyping: quantifying environmental determinants of health and behavior. - Andrea R. Coravos
Publisher Correction: Modernizing and designing evaluation frameworks for connected sensor technologies in medicine. - Alison Callahan
Estimating the efficacy of symptom-based screening for COVID-19. - David C. Mohr
Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age. - Louis Faust
Deviations from normal bedtimes are associated with short-term increases in resting heart rate. - Khaled Saab
Weak supervision as an efficient approach for automated seizure detection in electroencephalography. - Ron C. Li
Developing a delivery science for artificial intelligence in healthcare. - Kirsten I. Taylor
Outcome measures based on digital health technology sensor data: data- and patient-centric approaches. - Yifan Peng
Predicting risk of late age-related macular degeneration using deep learning. - Mal North
Author Correction: A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial. - Kotaro Miura
Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data. - Brooke Bell
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. - Amelia J. Averitt
Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations. - Sanket S. Dhruva
Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform. - Stevie Chancellor
Methods in predictive techniques for mental health status on social media: a critical review. - Leia Wedlund
Anticipating and treating dementia: lessons hidden in plain sight. - David M. Levine
Design and testing of a mobile health application rating tool. - Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. - Simon P. Rowland, J. Edward Fitzgerald
What is the clinical value of mHealth for patients? - Ira Hofer, Christine K. Lee, Eilon Gabel
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set. - Sara Gerke
Germany's digital health reforms in the COVID-19 era: lessons and opportunities for other countries. - Davide Cirillo
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare. - Pragya Sharma
Wearable radio-frequency sensing of respiratory rate, respiratory volume, and heart rate. - Shih-Cheng Huang
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. - Nina Rank
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. - Amirata Ghorbani, David Ouyang
Deep learning interpretation of echocardiograms. - Lee H. Schwamm
A digital embrace to blunt the curve of COVID19 pandemic. - Stan Benjamens
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database. - Lorenzo Schiavoni
Neuromuscular block monitoring by smartphone application (i-TOF© system): an observational pilot study. - Joshua Hayward
Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling. - Derek Richards
Author Correction: A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety. - Zhongwen Li, Chong Guo, Danyao Nie, Duoru Lin, Yi Zhu, Chuan Chen, Lanqin Zhao
Deep learning from "passive feeding" to "selective eating" of real-world data. - Andrea R. Coravos
Modernizing and designing evaluation frameworks for connected sensor technologies in medicine. - Satoshi Narumi
Evaluating the seasonality of growth in infants using a mobile phone application. - Joseph C. Kvedar
Evidence for the effectiveness of digital health. - Adam S. Miner
Assessing the accuracy of automatic speech recognition for psychotherapy. - Julia Ive
Generation and evaluation of artificial mental health records for Natural Language Processing. - Mal North
A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial. - Jessica Torres Soto
Multi-task deep learning for cardiac rhythm detection in wearable devices. - Kathy Li
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. - Emre Sezgin
Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic. - Carissa A. Low
Harnessing consumer smartphone and wearable sensors for clinical cancer research. - Kristine Arges, Themistocles Assimes
The Project Baseline Health Study: a step towards a broader mission to map human health. - Allan Tucker
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software. - Amirhossein Kiani
Impact of a deep learning assistant on the histopathologic classification of liver cancer. - Lluís Guasch
Full-waveform inversion imaging of the human brain. - Benjamin W. Nelson
Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research. - Kushal Kadakia, Bakul Patel, Anand Shah
Advancing digital health: FDA innovation during COVID-19. - Pranav Gupta
Precision wearable accelerometer contact microphones for longitudinal monitoring of mechano-acoustic cardiopulmonary signals. - Adam S. Miner
Chatbots in the fight against the COVID-19 pandemic. - Alain Labrique, Smisha Agarwal, Tigest Tamrat, Garrett Mehl:
WHO Digital Health Guidelines: a milestone for global health. - Lennaert van Veen
Homeostasis as a proportional-integral control system. - Gabriel A. Brat
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. - Thomas George Kannampallil, Joshua M. Smyth, Steve Jones
Cognitive plausibility in voice-based AI health counselors. - Ji Hwan Park, Han Eol Cho
Machine learning prediction of incidence of Alzheimer's disease using large-scale administrative health data. - Matt Desruisseaux
Channel management in virtual care. - Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi
Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. - Carmen C. Y. Poon
AI-doscopist: a real-time deep-learning-based algorithm for localising polyps in colonoscopy videos with edge computing devices. - Pete R. Jones
Seeing other perspectives: evaluating the use of virtual and augmented reality to simulate visual impairments (OpenVisSim). - C. Beau Hilton
Personalized predictions of patient outcomes during and after hospitalization using artificial intelligence. - Edgar Rojas-Muñoz, Chengyuan Lin
Evaluation of an augmented reality platform for austere surgical telementoring: a randomized controlled crossover study in cricothyroidotomies. - Matthew D. Li
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. - Beau Norgeot, Kathleen Muenzen
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. - Gabriela Stegmann
Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis. - Isotta Landi
Deep representation learning of electronic health records to unlock patient stratification at scale. - Paul Myers, Kenney Ng
Identifying unreliable predictions in clinical risk models. - Aislinn D. Bergin
Preventive digital mental health interventions for children and young people: a review of the design and reporting of research. - Nicola Rieke
The future of digital health with federated learning. - Ralph K. Akyea
Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care. - Shih-Cheng Huang
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - Charlotte Gentili
ACTsmart - development and feasibility of digital Acceptance and Commitment Therapy for adults with chronic pain. - Scott D. Tagliaferri
Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews. - Ignacio Perez-Pozuelo
The future of sleep health: a data-driven revolution in sleep science and medicine. - Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis
Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients. - Iñigo Urteaga
Learning endometriosis phenotypes from patient-generated data. - Quynh Pham
Virtual care models for cancer survivorship. - Trishan Panch, Tom J. Pollard
"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. - Adam B. Cohen
Innovation without integration. - Raheel Ata, Neil Gandhi, Hannah Rasmussen, Osama El-Gabalawy, Santiago Gutierrez, Alizeh Ahmad, Siddharth Suresh, Roshini Ravi, Kara Rothenberg
Author Correction: Clinical validation of smartphone-based activity tracking in peripheral artery disease patients. - Stephen K. Woody, David Burdick, Hilmar Lapp
Publisher Correction: Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare. - Niranjan Sridhar
Author Correction: Deep learning for automated sleep staging using instantaneous heart rate. - Christoph M. Kanzler
A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments. - Caroline Marra
Quantifying the use of connected digital products in clinical research. - Ines P. Nearchou
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients. - Nikhil Mahadevan, Charmaine Demanuele, Hao Zhang, Dmitri Volfson
Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device. - Patrik Bachtiger
Belief of having had unconfirmed Covid-19 infection reduces willingness to participate in app-based contact tracing. - Sujay Kakarmath, Andre Esteva
Best practices for authors of healthcare-related artificial intelligence manuscripts. - Fei Li
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. - Matthew Czech
Age and environment-related differences in gait in healthy adults using wearables. - Sara Gerke
The need for a system view to regulate artificial intelligence/machine learning-based software as medical device. - Dong-Hoon Choi
Out-of-clinic measurement of sweat chloride using a wearable sensor during low-intensity exercise. - Nisarg A. Patel
Characteristics and challenges of the clinical pipeline of digital therapeutics. - David H. Epstein, Matthew Tyburski, William J. Kowalczyk
Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data. - Seyoung Jung, Ho-Young Lee
How IT preparedness helped to create a digital field hospital to care for COVID-19 patients in S. Korea. - Reed T. Sutton
An overview of clinical decision support systems: benefits, risks, and strategies for success. - Itsuki Osawa
Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data.
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