AI Applications Integrating Legal and Regulatory Perspectives in Mental Health: Systematic Review [0.03%]
结合法律和监管视角的精神健康领域人工智能应用系统性 review
Moustafa Elmetwaly Kandeel,Eid G Abo Hamza,Alaa Abouahmed et al.
Moustafa Elmetwaly Kandeel et al.
Background: Artificial intelligence (AI) offers new methods to improve diagnosis and treatment in mental health. However, its use raises legal and ethical concerns. ...
Review
JMIR AI. 2026 Apr 27:5:e84305. DOI:10.2196/84305 2026
Integrating Confidence, Difficulty, and Language Model Calibration for Better Explainability in Clinical Documents Coding: Applications of AI [0.03%]
融合置信度、难度和语言模型校准以提高临床文档编码的可解释性：人工智能的应用
Mihai Horia Popescu,Kevin Roitero,Vincenzo Della Mea
Mihai Horia Popescu
Background: In recent years, there has been increasing interest in developing machine and deep learning models capable of annotating clinical documents with semantically relevant labels. However, the complex nature of the...
Acceptance and Readiness for AI Among United Arab Emirates-Based Health Care Practitioners: Exploratory Cross-Sectional Survey [0.03%]
阿联酋卫生保健从业人员接受度和准备情况的探索性横断面调查：AI方面的研究
Ghufran Alsalloum,Yara Badr,Ayman Alzaatreh et al.
Ghufran Alsalloum et al.
Background: Artificial intelligence (AI) can enhance diagnostic accuracy, efficiency, and decision-making in health care, but real-world impact depends on practitioners' acceptance and readiness to use AI in clinical work...
Implementation and User Evaluation of an On-Premise Large Language Model in a German University Hospital Setting: Cross-Sectional Survey [0.03%]
德国大学医院环境中驻地大型语言模型的实现与用户评估：横断面调查
Aliće Grünig,Jenifer Kriebel,Julian Varghese et al.
Aliće Grünig et al.
Background: Large language models (LLMs) are increasingly used by employees at university hospitals for information retrieval or decision support. Self-hosted on-premise systems provide a secure environment and conform to...
Augmenting Large Language Model With Prompt Engineering and Supervised Fine-Tuning in Non-Small Cell Lung Cancer Tumor-Node-Metastasis Staging: Framework Development and Validation [0.03%]
基于提示工程和监督微调的大语义模型在非小细胞肺癌肿瘤-淋巴结-远处转移分期中的应用：框架研发与验证
Ruonan Jin,Chao Ling,Yixuan Hou et al.
Ruonan Jin et al.
Background: Accurate tumor node metastasis (TNM) staging is fundamental for treatment planning and prognosis in non-small cell lung cancer (NSCLC). However, its complexity poses significant challenges. Traditional rule-ba...
Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study [0.03%]
基于机器学习改进COVID-19住院及门诊成人患者的口咽吞咽困难筛查：回顾性观察研究
Cristina Amadó Ruiz,Alberto Martín,Jaume Miró Ramos et al.
Cristina Amadó Ruiz et al.
Background: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing diagnostic challenges due to isolation protocols. Objec...
AI-Assisted Rapid Quality Analysis in Implementation Science: Methodological Study [0.03%]
基于人工智能的实施科学中的快速质量分析：方法学研究
Adeola Adegbemijo,Anna M Maw,Katy E Trinkley et al.
Adeola Adegbemijo et al.
Background: Translating evidence-based therapies from "bench to bedside" remains challenging, and implementation science (IS) experts are crucial for this process. Qualitative analyses are essential, but require extensive...
Immersive, Interactive, Intelligent Patient Educational System for Venous Thromboembolism (ChatVTE): Development and Validation Study [0.03%]
针对静脉血栓栓塞症的沉浸式、交互式和智能患者教育系统（ChatVTE）的研发与验证研究
Bin Bin Liu,Zhi Geng Jin,Zhe Qi Zhang et al.
Bin Bin Liu et al.
Background: Effective patient education is crucial in preventing venous thromboembolism (VTE), improving patient outcomes, and reducing health care costs. However, traditional educational methods often lack engagement and...
Exploring the Ethical and Practical Considerations of Artificial Intelligence in Real-World Health Care Settings: Stakeholder Focus Group Study [0.03%]
人工智能在现实世界医疗保健中的伦理和实践考量：利益相关者焦点小组研究
Carmen Wendy Ulizio,Devika Dua,Naya Meenkashi Mukul et al.
Carmen Wendy Ulizio et al.
Background: Artificial intelligence (AI) technologies continue to transform how we research human disease, diagnose and treat patients, and operate hospitals. However, emerging ethical dilemmas surrounding their design, u...
Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach [0.03%]
针对医疗资源匮乏人群训练AI聊天机器人管理健康的方案及方法论研究
Allison Diane Ihle,Breann Wicks,Vangelis Metsis et al.
Allison Diane Ihle et al.
Background: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with risks associated with criminal legal system involvement. These underser...