Artificial Intelligence Medical Compendium

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

Showing 53,981 to 53,990 of 225,930 articles

Human-Generative AI Interactions and Their Effects on Beliefs About Health Issues: Content Analysis and Experiment.

JMIR AI Feb 4, 2026
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Ranking-Aware Multiple Instance Learning for Histopathology Slide Classification: Development and Validation Study.

JMIR medical informatics Feb 4, 2026
BACKGROUND: Multiple instance learning (MIL) is widely used for slide-level classification in digital pathology without requiring expert annotations. However, even partial expert annotations offer valuable supervision; few studies have effectively le... read more 

Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit.

Journal of medical Internet research Feb 4, 2026
This study uses keyword filtering, a transformer-based algorithm, and inductive content coding to identify and characterize cannabis adverse experiences as discussed on the social media platform Reddit and reports a total of 1177 self-reported advers... read more 

Patients' Attitudes and Beliefs Toward Artificial Intelligence Use in Cancer Care: Cross-Sectional Survey Study.

JMIR cancer Feb 4, 2026
BACKGROUND: Artificial intelligence (AI) is being rapidly integrated into oncologic care, yet little is known about how patients perceive these applications. Understanding patient perceptions is critical to ensuring AI applications align with their n... read more 

Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods.

JMIR medical informatics Feb 4, 2026
BACKGROUND: Data linkage in pharmacoepidemiological research is commonly employed to ascertain exposures and outcomes or to obtain additional information on confounding variables. However, to protect patient confidentiality, unique patient identifier... read more 

Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study.

JMIR research protocols Feb 4, 2026
BACKGROUND: Serious mental illnesses (SMIs) are associated with high relapse rates and limited access to continuous care, particularly in low-resource settings such as urban slums. Traditional clinical monitoring is constrained by accessibility and s... read more 

Accelerating Siloxane-Based Ionizable Lipid Design for LNPs with Data-Efficient Kolmogorov-Arnold Networks.

Journal of chemical information and modeling Feb 4, 2026
Ionizable lipids are fundamental to the efficacy of lipid nanoparticles (LNPs) in pivotal areas including mRNA vaccines. Their development, however, is hindered by intricate structure-property relationships and limited experimental data. To address t... read more 

Protocol for Personalised Prediction of Persistent Postsurgical Pain.

BMJ open Feb 4, 2026
INTRODUCTION: Persistent postsurgical pain (PPSP) affects up to 15% of patients after major surgery, impairing physical function, quality of life and increasing risk for long-term opioid use. Current PPSP prediction models rely on static or retrospec... read more 

HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression.

BMJ open Feb 4, 2026
INTRODUCTION: Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and acceptable to users. However, to date, the efficacy of suc... read more 

Post-secondary student adoption of mental health labels through their use of social media: a scoping review.

BMJ open Feb 4, 2026
BACKGROUND: Social media is a significant source of information for post-secondary students, who are usually at the age at which many common mental disorders first express themselves. Social media can have a role in the way post-secondary students id... read more 
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