Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 13,871 to 13,880 of 211,462 articles

Hybrid AI Decision Support in Healthcare: Insights into Usability and Trust.

Studies in health technology and informatics May 21, 2026
Decision Support Systems (DSS) increasingly integrate Artificial Intelligence (AI) to enhance clinical reasoning, yet adoption depends on professionals' trust and usability. This study explored how hybrid AI decision support, combining rule-based gui... read more 

Advancing Knowledge in Evaluating the Clinical Impact of Large Language Models for Clinical Text Summarization: A Narrative Review.

Studies in health technology and informatics May 21, 2026
Large language models (LLMs) are increasingly explored for clinical text summarization from electronic health records (EHRs), where they could reduce documentation burden. While promising, errors in generated summaries may propagate misinformation, m... read more 

Exploring User Trust and Adoption of AI Chatbots for Health and Fitness Management Across Age Groups.

Studies in health technology and informatics May 21, 2026
This study investigates how individuals across different age groups use and perceive AI chatbots for health and fitness management. A quantitative survey (n = 180) examined usage frequency, perceived trust, relevance and satisfaction among users. Fin... read more 

Harnessing Pattern Recognition Techniques for Data Quality Detection.

Studies in health technology and informatics May 21, 2026
While most treatises on data quality emphasise frameworks and best practice, they often overlook a critical factor: the work is seen as tedious and dull, something that needs to be done quickly before getting onto the really exciting steps of produci... read more 

Conflicting Logics in EHR-AI Integration: Human Factors and Sociotechnical Tensions in Clinical Work.

Studies in health technology and informatics May 21, 2026
Electronic health record (EHR) systems have evolved from static repositories of patient information into dynamic platforms that increasingly influence how clinicians think and deliver care. As artificial intelligence (AI) becomes integrated into docu... read more 

Determinants of the Acceptance of Health-Related Use of Artificial Intelligence in the General Population: A Cross-Sectional Study.

Studies in health technology and informatics May 21, 2026
The successful integration of artificial intelligence (AI) in healthcare hinges on user acceptance, which is influenced by cognitive, emotional, and contextual factors. This study investigates how general attitudes toward AI, e-health readiness (eHR)... read more 

From Principles to Action: A French Framework for Operationalizing Ethics in Health AI.

Studies in health technology and informatics May 21, 2026
Artificial intelligence (AI) is rapidly transforming healthcare but raises ethical concerns. To address these, the French Delegation for Digital Health developed a practical implementation guide to help manufacturers operationalize ethical principles... read more 

Participatory Assessment of Ethics in AI: A Review.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Artificial Intelligence (AI) is reshaping digital healthcare by advancing disease detection, treatment options, and individualized patient care. In this context, responsible AI emphasizes building systems that follow ethical standards, ... read more 

Toward an Ethical Framework for Patient-Facing Artificial Intelligence in Clinical Settings.

Studies in health technology and informatics May 21, 2026
Patient-facing artificial intelligence in clinical settings raises distinct ethical challenges that require explicit attention as patients transition from passive recipients to active users of AI-augmented healthcare. We conducted 36 qualitative inte... read more 

Experts' Perception of AI-Generated Personalised Stories for Health Promotion.

Studies in health technology and informatics May 21, 2026
A qualitative study is presented aimed to explore how person-tailored stories generated by a storytelling system agent built on a combination of argumentation theory and large language models (LLM) can support a person in reflecting on activities pro... read more 
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