Artificial Intelligence Medical Compendium

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

Showing 4,761 to 4,770 of 203,854 articles

Automating infection indicator extraction in home healthcare through instruction-tuned large language models.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026
OBJECTIVE: Home healthcare (HHC) clinical notes contain critical infection indicators that clinicians need in structured "indicator + context" pairs. Data sparsity and limited computing resources hinder automated extraction in decentralized HHC setti... read more 

Applying natural language processing and large language models to clinical notes for phenotyping and diagnosing rare diseases: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026
OBJECTIVES: Patients with rare diseases often face long delays before receiving a diagnosis. Using electronic health records for automated phenotyping and diagnosis of rare diseases is a promising approach but can be challenging because critical info... read more 

Artificial Intelligence Use in Problem-Based Learning: Implications for Clinical Reasoning.

The clinical teacher Jun 1, 2026
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Harnessing Artificial Intelligence to Counter Microbial Immune Evasion Strategies.

Clinical laboratory Jun 1, 2026
BACKGROUND: Microbial pathogens deploy sophisticated mechanisms to evade host immune responses, complicating the development of effective therapeutics. Artificial intelligence (AI) offers innovative tools to analyze complex host-pathogen interactions... read more 

How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.

The clinical teacher Jun 1, 2026
Generative artificial intelligence (AI) refers to computational systems capable of analysing data, recognising patterns and generating outputs that may support decisions. In healthcare, AI has the potential to improve diagnostic accuracy and provide ... read more 

Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluations.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026
OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of disparities across individuals or subgroups, shares several parallels with concepts in clinical epidemiology.... read more 

Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.

Nursing & health sciences Jun 1, 2026
Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive care units remain limited. This study aimed to explore ICU nurses' views on AI to support effective... read more 

Mesoscopic cortical activities associated with pupil-linked perceptions inferred via explainable machine learning

bioRxiv Jun 1, 2026
Pupil dilation reflects arousal-related neural processes and is closely linked to sensory perception, attention, and cognitive state, but the mesoscopic cortical dynamics that accompany stimulus-evoked dilation remain unclear. Here, we combined simul... read more 
neuroscience

Trustworthy ML/AI for Aging Clocks: Preventing Systematic Prediction Bias in Biological Age Estimation

bioRxiv Jun 1, 2026
Machine learning (ML)- and artificial intelligence (AI)-based aging clocks are increasingly used to quantify physiological and molecular aging from omics and medical imaging data as distinct from chronological age. Here, we characterize a fundamental... read more 
bioinformatics

Neural networks learn forward dynamics when freed from numerical integration

bioRxiv Jun 1, 2026
Seamless interaction between humans and machines requires interfaces that remain robust to the variability inherent in biological signals and physical environments. Advanced human-machine interfaces (HMIs) increasingly rely on machine learning to pre... read more 
neuroscience
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