A New Model for Youth-Driven Community Change: Exploratory Testing of Artificial Intelligence-Supported Citizen Science [0.03%]
一种新的青年主导的社区变革模型：探索性测试人工智能支持的公民科学
Eduardo De la Vega-Taboada,Sofia A Portillo,Lina Maria Gomez-Garcia et al.
Eduardo De la Vega-Taboada et al.
Background: Generative artificial intelligence (AI) systems are increasingly used in health and community settings, yet empirical evidence on how they function within participatory, youth-led action frameworks remains lim...
Implementing Artificial Intelligence in Radiology: Design Thinking Road Map [0.03%]
放射学中的人工智能实现：设计思维路线图
Vitor Ulisses Monnaka,Jéssica Andrade-Silva,Gilberto Szarf et al.
Vitor Ulisses Monnaka et al.
Despite its promising potential to transform medical care, particularly in the field of medical images, the integration of artificial intelligence (AI) into clinical practice remains a complex and multifaceted challenge. In real-world setti...
A Qualitative Exploration of Ethical Aspects of Using AI in Parkinson Disease: Patient Panel Study [0.03%]
帕金森病患者小组研究：定性探索在帕金森病中使用AI的伦理方面问题
Jamie Linnea Luckhaus,Therese Scott Duncan,Anna Kharko et al.
Jamie Linnea Luckhaus et al.
Background: As Parkinson disease (PD) rates increase, so does interest in finding new technological solutions for PD management. Despite substantial efforts to explore potential applications of artificial intelligence (AI...
AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability [0.03%]
基于人工智能的床旁影像诊断准确性、任务移转和可解释性的系统性回顾研究
Peter Wadie,Bishoy Zakher,Khalid Elgazzar et al.
Peter Wadie et al.
Background: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited specialist availability. However, no systematic review has comprehensively e...
Review
JMIR AI. 2026 Apr 27:5:e80928. DOI:10.2196/80928 2026
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...