Human-AI Interaction in Low- and Middle-Income Countries: Qualitative Study of How Local Human Factors Influence AI Development and Deployment [0.03%]
中低收入国家的人工智能互动定性研究：当地人为因素如何影响人工智能的研发与应用
Evangelia Baka,Niklas Krischer,Udani De Silva et al.
Evangelia Baka et al.
Background: Artificial intelligence (AI) is rapidly transforming health care and health research, offering new opportunities for improving efficiency, accessibility, and equity. However, the ethical, societal, and regulat...
Suicidal Ideation in Online Spaces Through the Lens of Interpersonal Theory of Suicide: Exploratory Study of Self-Disclosure, Peer Support, and AI Responses [0.03%]
从人际自杀理论视角探索网络空间中的自杀意念：自我披露、同伴支持及AI回应的探索性研究
Soorya Ram Shimgekar,Violeta J Rodriguez,Paul A Bloom et al.
Soorya Ram Shimgekar et al.
Background: Suicide is a critical global public health issue, with millions experiencing suicidal ideation (SI) each year. Global estimates suggest that the lifetime prevalence of SI ranges between 9% and 12% worldwide, u...
Artificial Intelligence Discontinuation Effects (AI-DICE): An Emerging Phenomenon in Mental Health Applications [0.03%]
人工智能断开效应（AI-DICE）：心理健康应用中一种新兴现象
Megan M Kelly,Phoebe S Moore,Adrian H Zai et al.
Megan M Kelly et al.
Artificial intelligence (AI) has emerged as a powerful tool for fostering positive behavior change and enhancing mental health support. However, the abrupt discontinuation or functional degradation of AI-driven interventions, particularly t...
Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning-Based Two-Compartment Predictive Model: Development and Validation Study [0.03%]
基于深度学习的两室预测模型改进万古霉素治疗药物监测：发展与验证研究
Bingyu Mao,Ziqian Xie,Laila Rasmy et al.
Bingyu Mao et al.
Background: Vancomycin is a widely used antibiotic that requires therapeutic drug monitoring (TDM) for optimized individual dosage. A deep learning-based model, pharmacokinetic recurrent neural network-1 compartment model...
Estimating a Physiological Lung Function Score and Biological Sex Using Pulmonary Function Tests and Machine Learning: Retrospective Study [0.03%]
基于肺功能检查和机器学习估计生理性的肺功能评分和生物性别：回顾性研究
Patrick W Johnson,Zachary S Quicksall,Jieun Lee et al.
Patrick W Johnson et al.
Background: Sex and age have long been known to affect lung function. Several biological variables and anatomical factors may contribute to sex- and age-related differences in pulmonary metrics. ...
The Role of Multimodal Generative AI in Older Adults' Health Management: Systematic Scoping Review [0.03%]
多模态生成式人工智能在老年人健康管理工作中的作用：系统综述
Ting Liu,Yiming Taclis Luo,Patrick Cheong-Iao Pang et al.
Ting Liu et al.
Background: The issue of population aging has emerged as a critical global challenge, driving the imperative for effective self-care and scalable health management solutions for older adults. Against the backdrop of the a...
Review
JMIR AI. 2026 May 29:5:e84695. DOI:10.2196/84695 2026
Multimodal GPT-5 for Predicting Poor Functional Outcomes After Intracerebral Hemorrhage in the Emergency Department: Validation Study [0.03%]
多模态GPT-5预测急诊科脑出血后功能预后的验证研究
Koutarou Matsumoto,Kazuaki Ishihara,Ryota Tamba et al.
Koutarou Matsumoto et al.
Background: In the emergency department, rapid prognostic assessment of patients with intracerebral hemorrhage (ICH) is essential for guiding early management decisions, particularly when stroke specialists are not immedi...
Application of Sparse Autoencoders to Enhance Mechanistic Interpretability of Large Language Models in Medicine [0.03%]
稀疏自编码器在医学领域增强大型语言模型机制可解释性中的应用
Andre Metzger,Shiv Patil,Lauren R Sugarmann et al.
Andre Metzger et al.
Large language models (LLMs) are being increasingly incorporated into clinical workflows due to their ability to synthesize medical knowledge and support diagnosis and treatment planning. However, their opaque internal decision-making proce...
Ethics and Fairness Considerations in AI-Based Deception Detection Technologies for Mental Health Applications: Focus Group Study [0.03%]
基于人工智能的精神健康应用中的谎言检测技术的伦理与公平性考量：焦点小组研究
Sayde Leya King,Serena Bhaskar,Julia Woodward et al.
Sayde Leya King et al.
Background: Artificial intelligence (AI) technologies are increasingly being integrated into mental health settings to support tasks such as clinical documentation and decision-making. In parallel, AI-enabled deception de...
Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial [0.03%]
用于预测膀胱癌根治性膀胱切除术患者总体生存率的远程智能患者监测：前瞻性试验的探索性分析
Yansong Liu,Pramit Khetrapal,Ronnie Strafford et al.
Yansong Liu et al.
Background: Previous studies have highlighted the benefits of using artificial intelligence-powered remote patient monitoring (AI RPM) in detecting health changes across various disease cohorts. However, the use of AI RPM...