Artificial Intelligence Medical Compendium

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

Showing 14,181 to 14,190 of 211,815 articles

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
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
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
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
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
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 

Identifying Clinical Predictors of Diabetes and Prediabetes: An Explainable AI Approach Using Primary Care Electronic Medical Records.

Studies in health technology and informatics
Prediabetes (PD), a reversible metabolic condition that precedes type 2 diabetes (T2DM), carries a high risk of progression to T2DM, but can be effectively treated by restoring normal blood glucose levels, mainly through lifestyle changes such as die... read more 

Mapping Existing Evidence on Physicians' and Patients' Experiences with GenAI in Clinical Communication and Documentation: A Rapid Review.

Studies in health technology and informatics
GenAI tools like chatbots and ambient scribes are increasingly used in clinical documentation, raising ethical and safety concerns. This rapid review maps existing evidence on experiences and attitudes of physicians and patients toward using GenAI in... read more 

Integrating AI Scribe Technology into Public Health Workflows: Simulation and Field Evaluation in Disease Case Management.

Studies in health technology and informatics
The growing integration of generative artificial intelligence (GenAI) into clinical documentation offers new opportunities to enhance public health surveillance and response. This pilot study evaluated an AI scribe for infectious disease management i... read more 

How AI Agreement Shapes Confidence: Evidence Across Clinical Skill Levels.

Studies in health technology and informatics
BACKGROUND: Artificial intelligence (AI) is increasingly used in clinical workflows, but its psychological effects on diagnostic confidence remain unclear. OBJECTIVE: To examine how agreement or disagreement with AI recommendations affects clinicians... read more 

Med-KAG: Preliminary Results of a Medical Knowledge-Augmented Generation Approach.

Studies in health technology and informatics
We propose in this paper Med-KAG, a novel Artificial Intelligence (AI) assistant architecture for clinical decision support. Med-KAG extends the Retrieval-Augmented Generation (RAG) paradigm by integrating a medical Knowledge Graph built from the Uni... read more