AI-Based Personalized Therapy With Clinical Intelligence and Radiomics (SPOILS) for Patients With Low Back Pain: Prospective Observational Study [0.03%]
基于人工智能的临床智能和放射组学的个性化治疗（SPOILS）在治疗慢性下腰痛患者中的疗效观察研究
Purushottam Kumar,Suyash Singh,Bunil Kumar Balabantaray
Purushottam Kumar
Background: Low back pain (LBP) is a leading cause of disability worldwide, affecting people of all ages while showing increasing prevalence among younger demographics. Patients may present with different symptoms and tre...
Enhancing COVID-19 Screening Models With Epidemiological and Mobility Features: Machine-Learning Model Study [0.03%]
结合流行病学和出行特征改进新冠肺炎筛查模型：机器学习模型研究
Hyunwoo Choo,Dohyung Lee,Soo-Yong Shin et al.
Hyunwoo Choo et al.
Background: Despite the significant post-COVID-19 pandemic surge in research using symptom data and machine learning (ML) for patient screening, data on patient trajectories and epidemiological conditions, although crucia...
Important Ethical, Technical, and Epidemiological Considerations in an AI Tool Production (ETEPAI): Scoping Review [0.03%]
人工智能工具生产中的重要伦理、技术及流行病学考量（ETEPAI）：系统综述
Boon How Chew,Kee Yuan Ngiam
Boon How Chew
Background: Artificial intelligence (AI) tools are being developed in a rapidly evolving technology. The convergence of ethical, technical, and research methods' considerations is crucial for multidisciplinary teams aimin...
Review
JMIR AI. 2026 Mar 5:5:e80340. DOI:10.2196/80340 2026
ChatGPT as an AI-Enabled Educational Resource in Nursing Practice: Scoping Review of Uses, Outcomes, and Implementation Challenges [0.03%]
基于人工智能的护理实践教育资源——ChatGPT：用途、结果和实施挑战的综述性回顾研究
Selviana Anwar,Saldy Yusuf,Maria Kurnyata Rante Kada et al.
Selviana Anwar et al.
Background: High-quality nursing services are essential for improving patient satisfaction and health outcomes. Today, artificial intelligence (AI) applications such as ChatGPT offer potential solutions to enhance patient...
Review
JMIR AI. 2026 Mar 9:5:e79551. DOI:10.2196/79551 2026
A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical Centers [0.03%]
学术医学中心联合学习的实用风险与治理框架
Daniel Bottomly,Bridget Barnes,Kuli Mavuwa et al.
Daniel Bottomly et al.
With the rapid development of artificial intelligence (AI), particularly large language models, there is growing interest in adopting AI approaches within academic medical centers (AMCs). However, the vast amounts of data required for AI an...
AI-Enabled Personalization of Semaglutide Therapy in Type 2 Diabetes: Systematic Review With an Integration Framework [0.03%]
基于人工智能的利拉鲁肽治疗2型糖尿病个性化策略的系统评价及整合框架
Ghinwa Barakat,Samer El Hajj Hassan,Hanane Akhdar et al.
Ghinwa Barakat et al.
Background: Type 2 diabetes mellitus (T2D) is a rapidly growing global health concern requiring innovative treatment methods. Ozempic (semaglutide), a glucagon-like peptide-1 receptor agonist, has proven consistent effect...
Review
JMIR AI. 2026 Mar 9:5:e86960. DOI:10.2196/86960 2026
Facial Expression-Based Evaluation of the Emotion Estimation Software Kokoro Sensor in Healthy Individuals: Validation and Reliability Pilot Study [0.03%]
基于面部表情的健康人Kokoro情绪估计软件有效性评价：有效性和可靠性验证试点研究
Shota Yoshihara,Satoru Amano,Kayoko Takahashi
Shota Yoshihara
Background: In recent years, artificial intelligence (AI) systems have increasingly been used to assess emotional states in health care. AI offers a safe, quick, user-friendly, and objective emotional evaluation method. H...
Assessment of the Modified Rankin Scale in Electronic Health Records With a Fine-Tuned Large Language Model: Development and Internal Validation [0.03%]
基于精调的大语义模型的改良Rankin量表电子健康记录评估：开发与内部验证
Luis Silva,Marcus Milani,Sohum Bindra et al.
Luis Silva et al.
Background: The modified Rankin scale (mRS) is an important metric in stroke research, often used as a primary outcome in clinical trials and observational studies. The mRS can be assessed retrospectively from electronic ...
Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach [0.03%]
基于网络分析的医疗保健领域人工智能创新应用缓慢的原因探究
Petra Apell,Sara Locher,Annie Milde et al.
Petra Apell et al.
Background: Artificial intelligence (AI) is a topic of considerable hype, with many actors sensing its high potential for health care applications. Despite this, the adoption has been slow, with few applications being imp...
Performance of Large Language Models Under Input Variability in Health Care Applications: Dataset Development and Experimental Evaluation [0.03%]
医疗应用中大型语言模型在输入变化下的表现：数据集开发与实验评估
Saubhagya Joshi,Monjil Mehta,Sarjak Maniar et al.
Saubhagya Joshi et al.
Background: Large language models (LLMs) are increasingly integrated into health care, where they contribute to patient care, administrative efficiency, and clinical decision-making. Despite their growing role, the abilit...