Patient Perceptions on the Use of Artificial Intelligence in Creating Clinical Research Documents: Survey Study [0.03%]
关于使用人工智能创建临床研究文档的患者感知调查研究
Kimbra Edwards,Samuel Entwisle,Zack Fey et al.
Kimbra Edwards et al.
Background: The use of generative artificial intelligence (AI) by pharmaceutical companies and other organizations for preparing patient-facing documents reporting results of clinical research is becoming more common. Thi...
Application of Language Models for the Analysis of Adverse Drug Events in Pharmaceutical Research and Development: Scoping Review [0.03%]
语言模型在制药研究和开发中的药物不良事件分析的应用：雪球回顾分析研究
Oren Schreier,Anthony Yazdani,Ioannis Galdadas et al.
Oren Schreier et al.
Background: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and development (Pharma R&D), necessitating robust methods for early detection and surveillance. Language models (LMs) are i...
Review
JMIR AI. 2026 Jun 16:5:e77732. DOI:10.2196/77732 2026
Correction: Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study [0.03%]
修正：使用下颌裁剪颅面图像进行深度学习年龄估计和性别预测的比较模型开发与验证研究
Vitria Wuri Handayani,Mieke Sylvia Margaretha Amiatun Ruth,Riries Rulaningtyas et al.
Vitria Wuri Handayani et al.
AI-Assisted Systematic Literature Review of the Economic Burden of Pneumococcal Disease: Development and Validation Study [0.03%]
基于人工智能的肺炎球菌病经济负担系统文献回顾开发与验证研究
Dong Wang,Surabhi Datta,Julie Glasgow et al.
Dong Wang et al.
Background: Automated systematic literature review (SLR) may reduce the workload and errors associated with manual review, enabling faster, up-to-date reviews even with increasing publication volumes. Large language model...
Knowledge-Augmented Large Language Model for Multimodal Electronic Health Record-Based Risk Prediction: Development and Validation Study [0.03%]
基于多模态电子健康记录的风险预测的知识增强型大语言模型的研发与验证研究
Rituparna Datta,Jiaming Cui,Zihan Guan et al.
Rituparna Datta et al.
Background: Accurate clinical outcome prediction using electronic health records (EHRs) is crucial for patient care and resource allocation. EHRs include both structured data and rich, unstructured clinical notes. However...
A Structured Comparison of the Coalition for Health AI Responsible AI Guide and South Korea's Trustworthy AI Guideline for Health Care AI Assurance: Comparative Framework Analysis [0.03%]
健康人工智能责任指南与韩国医疗保健人工智能保障可信人工智能指南的结构化比较：比较框架分析
Trevor Vigeant,Aidan Tam,Qiming Shi et al.
Trevor Vigeant et al.
Background: Trustworthy artificial intelligence (AI) in health care requires assurance frameworks that translate ethical principles into measurable governance and evaluation practices. While a growing number of AI assuran...
Simulated Reasoning and Self-Verification for Psychiatric Diagnosis in Generalist Large Language Models: Comparative Evaluation [0.03%]
模拟推理和自验证在通用大型语言模型中的精神病诊断比较评估
Karthik V Sarma,Kaitlin E Hanss,Andrew J M Halls et al.
Karthik V Sarma et al.
Background: Large language models (LLMs) and, more recently, large reasoning models (LRMs) have rapidly garnered significant interest for application in psychiatry and behavioral health. However, recent studies have ident...
AI Chatbot Suicide Risk Detection and Response: Human Validation of the Open-Source VERA-MH Safety Evaluation [0.03%]
基于开源VERA-MH的安全评估的人工验证：AI聊天机器人自杀风险检测与应对
Kate H Bentley,Luca Belli,Adam M Chekroud et al.
Kate H Bentley et al.
Background: Millions of people now use leading generative AI tools (chatbots) for psychological support. Despite the promise related to availability and scale, the single most pressing question in AI for mental health is ...
AI Chatbot Answers for Drug Dosing Adjustments According to Renal Function in Geriatric Patients Using the New Scoring System (AI Quality Output Score): Cross-Sectional Study [0.03%]
基于新型评分系统（AI质量输出评分）的智能聊天机器人在老年患者中根据肾功能进行药物剂量调整的回复：横断面研究
Celine Barbonus,Ralf Sultzer,Thilo Bertsche
Celine Barbonus
Background: Preventable adverse drug reactions in geriatric patients are caused by overdosing, especially in cases of impaired renal function. Artificial intelligence (AI) chatbots are being discussed as tools to generate...
AI-Assisted Medical Documentation in a Multilingual Swiss Health Care System: Proof-of-Concept Study [0.03%]
基于人工智能的多语言瑞士医疗文档记录的概念验证研究
Mateusz Gładysz,Fabrizio Fiumedinisi,Felice Burn et al.
Mateusz Gładysz et al.
Background: Medical documentation imposes a significant administrative burden on physicians and reduces time for direct patient care. Artificial intelligence (AI)-assisted tools such as automatic speech recognition and la...