Artificial Intelligence Medical Compendium

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

Showing 37,491 to 37,500 of 223,469 articles

Mobile Imaging-Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study.

JMIR research protocols Mar 30, 2026
BACKGROUND: Assessing dental caries, sealants, and fluorosis is essential for public health surveillance, providing critical data to evaluate national prevention programs. Standard methods performed by dental professionals are often limited by afford... read more 

Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review.

JMIR mental health Mar 30, 2026
BACKGROUND: Generative artificial intelligence (AI) chatbots have rapidly entered public use, including in contexts involving emotional support and mental health-related interactions. Although these systems are increasingly accessible, concerns have ... read more 

Susceptibility of Assessment Types to AI-Generated Content in Digital Health and Health Information Management Education: Quasi-Experimental Pilot Study.

JMIR medical education Mar 30, 2026
BACKGROUND: Generative artificial intelligence (AI) tools, such as ChatGPT, are increasingly used in higher education and have raised significant concerns about assessment validity and academic integrity. In Digital Health and Health Information Mana... read more 

Editor's view: What makes a scientist successful?

Journal of global health Mar 30, 2026
This editorial examines the nature of scientific discovery by studying the characteristics, methods, and tools that have historically defined a 'successful scientist'. It first considers the traditional hypothesis-driven model of science founded on e... read more 

Physicochemical Principles Governing the Intrinsically Disordered Salivary Peptide Histatin 5: Ensemble Structure, Electrostatics, and Environmental Responsiveness.

The journal of physical chemistry. B Mar 30, 2026
Histatin 5 (Hst5) is a histidine-rich intrinsically disordered protein (IDP) whose biological function arises from a highly heterogeneous conformational ensemble and environmental sensitivity. Unlike structured antimicrobial peptides that rely on per... read more 

Medical Students' Perceptions of the Use of Generative Artificial Intelligence as an Assessment Strategy in Physiology.

Advances in physiology education Mar 30, 2026
Generative artificial intelligence (AI) is increasingly embedded in higher education; however, its pedagogical role in assessment within medical education remains insufficiently characterized. This study analyzed medical students' perceptions of usin... read more 

Adaptive Feature Selection With Hierarchical Learning for Drug-Target Interaction Prediction.

IEEE journal of biomedical and health informatics Mar 30, 2026
Accurate prediction of drug-target interactions (DTIs) is essential for drug discovery and repurposing. Although deep learning has driven substantial progress, critical limitations remain: a singular focus on intermolecular associations results in su... read more 

Automatic Segmentation of Placenta from MR images Using a Novel BiGC U-Net.

IEEE journal of biomedical and health informatics Mar 30, 2026
Accurate segmentation of the placenta in Magnetic Resonance (MR) images is required for quantitative techniques such as texture and shape analysis, which have been proposed to improve placenta accreta spectrum (PAS) diagnostic rates. However, it is c... read more 

Development of a multimodal obstructive sleep apnea diagnostic prediction model using two-dimensional facial images and clinical data.

IEEE journal of biomedical and health informatics Mar 30, 2026
Obstructive sleep apnea (OSA) is a prevalent disorder in middle-aged and obese men with increased risk of cardiovascular disease, metabolic dysfunction, and neurocognitive impairments. Delays in diagnosis and treatment of patients with OSA increase l... read more 

Semantic Prompt and Graph-Convolution-Structure Distillation Framework for Semantic Segmentation of Remote Sensing Images.

IEEE transactions on neural networks and learning systems Mar 30, 2026
High-resolution remote sensing semantic segmentation plays a critical role in land-use monitoring, urban planning, and disaster response. However, its deployment remains challenging owing to modality heterogeneity, fine-scale object structures, and t... read more 
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