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Artificial Intelligence in Medicine, Volume 157
Volume 157, 2024
- Pu Han, Xiong Li, Zhanpeng Zhang, Yule Zhong, Liang Gu, Yingying Hua, Xiaoyan Li:
CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced. 102965 - Guangfei Yang, Ziyao Zhou, Aili Ding, Yuanfeng Cai, Fanli Kong, Yalin Xi, Nannan Liu:
MAPRS: An intelligent approach for post-prescription review based on multi-label learning. 102971 - Minghan Fu
, Ming Fang, Rayyan Azam Khan
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. 102972 - Mariam Zomorodi, Ismail Ghodsollahee, Jennifer H. Martin, Nicholas J. Talley, Vahid Salari, Pawel Plawiak, Kazem Rahimi, U. Rajendra Acharya:
RECOMED: A comprehensive pharmaceutical recommendation system. 102981 - Christoph Düsing, Philipp Cimiano, Sebastian Rehberg, Christiane Scherer, Olaf Kaup, Christiane Köster, Stefan Hellmich, Daniel Herrmann, Kirsten Laura Meier, Simon Claßen, Rainer Borgstedt:
Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapy. 102982 - Yanfang Xue
Dynamic functional connections analysis with spectral learning for brain disorder detection. 102984 - Saeed Rouhani, Fatemeh Mozaffari:
Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification. 102980 - Yuansheng Liu
SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction. 102983 - Iakes Goenaga, Aitziber Atutxa, Koldo Gojenola, Maite Oronoz
Explanatory argument extraction of correct answers in resident medical exams. 102985 - Uma E.
A comprehensive survey of drug-target interaction analysis in allopathy and siddha medicine. 102986 - Edward Sandoval, Juan A. Olmos, Fabio Martínez
A self-supervised deep Riemannian representation to classify parkinsonian fixational patterns. 102987 - Niall Taylor
Model development for bespoke large language models for digital triage assistance in mental health care. 102988 - Regina Ofori-Boateng
Enhancing systematic reviews: An in-depth analysis on the impact of active learning parameter combinations for biomedical abstract screening. 102989 - Jiashuang Huang
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. 102990 - Guillermo Villanueva Benito, Ximena Goldberg, Nicolai Brachowicz, Gemma Castaño-Vinyals, Natalia Blay, Ana Espinosa, Flavia Davidhi, Diego Torres, Manolis Kogevinas, Rafael de Cid, Paula Petrone:
Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency. 102991 - Yue Zhang, Jiewei Lai, Chenyu Zhao, Jinliang Wang, Yong Yan, Mingyang Chen, Lei Ji, Jun Guo, Baoshi Han, Yajun Shi, Yundai Chen, Wei Yang, Qianjin Feng:
Abnormal recognition-assisted and onset-offset aware network for pathological wearable ECG delineation. 102992 - Zhiyuan Li
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment. 102993 - Lillian Muyama
Deep Reinforcement Learning for personalized diagnostic decision pathways using Electronic Health Records: A comparative study on anemia and Systemic Lupus Erythematosus. 102994 - Ehsan Naghavi
Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach. 102995 - Kun Chen, Shulong Chai, Tianli Xie, Quan Liu, Li Ma:
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status. 102996 - Antonio Iannone, Alessandro Carfì
On the role of artificial intelligence in analysing oocytes during in vitro fertilisation procedures. 102997 - Ranjeet Ranjan Jha, Arvind Muralie, Munish Daroch, Arnav Bhavsar, Aditya Nigam:
Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized data. 102998 - Vrutti Tandel, Aparna Kumari, Sudeep Tanwar
Intelligent wearable-assisted digital healthcare industry 5.0. 103000 - Zhuo Deng
OphGLM: An ophthalmology large language-and-vision assistant. 103001 - Niall Taylor
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. 103002 - Agnese Bonfigli
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain. 103003 - Qi Chwen Ong, Chin-Siang Ang, Davidson Zun Yin Chee, Ashwini Lawate, Frederick Sundram, Mayank Dalakoti, Leonardo Pasalic, Daniel To, Tatiana Erlikh Fox, Iva Bojic, Josip Car:
Advancing health coaching: A comparative study of large language model and health coaches. 103004 - Chuqiao Zhang
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs. 103005
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