Artificial Intelligence Medical Compendium

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

Showing 671 to 680 of 234,501 articles

Construction of an AI-Assisted Pedigree Mapping System for Hereditary Gynecological Tumors: Algorithm Development and Pilot Validation Study.

JMIR medical informatics
BACKGROUND: Pedigree mapping serves as the first step in genetic counseling. Traditional methods relying on manual pedigree drawing and information collection are inefficient and prone to errors. OBJECTIVE: This study aimed to design an intelligent p... read more 

A Tangible Multimodal Sensing Interface for Collaborative Task Engagement in Children With Autism Spectrum Disorder: Cross-Sectional Mixed Methods Feasibility Study.

JMIR serious games
BACKGROUND: Social engagement is critical for the developmental progress of children with autism spectrum disorder (ASD). While tangible technologies and serious games (SGs) show promise, a dual-purpose platform that both facilitates collaborative in... read more 

The Forgotten Student-Generative AI Use in Medical Education and the Technology-Integrated Educational Design (TIED) Road Map: Scoping Review.

Journal of medical Internet research
BACKGROUND: The growing impact of generative AI (GenAI) on medical education has given rise to many reviews discussing AI literacy, trustworthiness, potential uses, and institutional or faculty benefits. However, there has been surprisingly little re... read more 

Quality Assessment and Model Training Impact of Synthetic Images in Medical Diagnostic Imaging: Systematic Review.

JMIR AI
BACKGROUND: AI has increasingly been used to generate synthetic images to overcome the scarcity of large, regulatory-compliant medical image datasets. However, their quality and actual utility for algorithm development across deep learning architectu... read more 

Child and Adolescent Mental Health Misinformation on TikTok: Cross-Sectional Mixed Methods Study.

JMIR formative research
BACKGROUND: TikTok is an important source of mental health information for children, adolescents, and young adults, but the accuracy of psychoeducational content remains uncertain. Misleading information may be particularly consequential for younger ... read more 

Effectiveness of Generative AI-Enabled Teaching for Clinical Reasoning in Health Care Education: Protocol for a Systematic Review and Meta-Analysis.

JMIR research protocols
BACKGROUND: Clinical reasoning skills are key competencies required by health care professionals. Generative AI (GenAI)-enabled teaching may be able to offer personalized learning; however, its effectiveness compared with traditional teaching methods... read more 

Large Language Model-Assisted Review of Clinical Trial Informed Consent for Data Reuse: Retrieval-Augmented Generation Approach.

JMIR medical informatics
BACKGROUND: Regulatory frameworks such as the Belmont Report, the Common Rule, and the Declaration of Helsinki require informed consent to ensure participants understand a study's purpose and can make voluntary decisions about their involvement. Regu... read more 

A Machine Learning Framework for Predicting Functional Status and Estimating Health Care Costs in Pulmonary Arterial Hypertension: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Pulmonary arterial hypertension (PAH) is a rare and progressive disease associated with substantial clinical heterogeneity and high health care costs. While machine learning (ML) has been increasingly applied to predict clinical outcomes,... read more