Artificial Intelligence Medical Compendium

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

Showing 55,951 to 55,960 of 226,731 articles

Students Are Ready for AI-But Is Medical Education?

The clinical teacher Feb 1, 2026
BACKGROUND: Artificial Intelligence (AI) is increasingly relevant to medical training, yet formal AI instruction remains limited. This study examined medical students' awareness, perceived access to AI-integrated learning tools, and views on institut... read more 

Seeing Is Believing? Exploring Gender Bias in Artificial Intelligence Imagery of Specialty Doctors.

The clinical teacher Feb 1, 2026
BACKGROUND: In medicine and medical education, women are disproportionately affected by gender bias. Artificial intelligence (AI) is increasingly being employed in medical education. As gender bias exists within AI, there is a risk of reinforcing gen... read more 

Integrating Artificial Intelligence Into Medical Student Coaching.

The clinical teacher Feb 1, 2026
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Mathematical and Artificial Intelligence Techniques in Modern Drug Discovery: A Review.

Drug development research Feb 1, 2026
The future of drug research is intrinsically connected to the continuous advancement and prudent integration of Artificial intelligence (AI) and mathematics. By addressing challenges and leveraging possibilities, the pharmaceutical industry may fully... read more 

Tiny recurrent neural networks for discovering cognitive strategies.

Nature reviews. Neuroscience Feb 1, 2026
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Patient attitudes toward ambient artificial intelligence scribes in clinical care: insights from a cross-sectional study.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
OBJECTIVE: To assess patient attitudes towards ambient artificial intelligence (AI) scribes, including comfort, trust, perceived impact on provider interactions, and willingness for future use, and to examine how sociodemographic, health factors, dig... read more 

Prediction of anti-epileptic drug response of patients based on peripheral blood RNA profiles and machine learning.

International journal of clinical pharmacology and therapeutics Feb 1, 2026
OBJECTIVE: In this study, we aimed to develop a method for predicting the response of patients to three commonly used anti-epileptic drugs (AEDs), namely, carbamazepine, phenytoin, and valproate, using machine learning models, based on the patients' ... read more 

The Perspectives of Posttranslational Modifications of Nuclear Proteins in Related Physiology and Diseases Assisted With Multi-Omics Integrative Analysis and Machine Learning.

Cell biochemistry and function Feb 1, 2026
Many epigenetic drugs lack specificity, which may lead to drug resistance and long-term safety concerns. There is an urgent need to develop more precise nuclear-targeted drugs to reduce adverse reactions and harmful effects. The development of nuclea... read more 

Associating protein residues in the literature with structural data.

Acta crystallographica. Section D, Structural biology Feb 1, 2026
Protein structures are crucial in understanding the function, mechanism and disease-causing variants of proteins within any living cell. A number of experimental techniques are employed by researchers to determine such structures. Through structure i... read more 

Moving toward equitable juvenile justice risk assessments for adolescents: Considering clinical, community, and statistical fairness.

Psychological assessment Feb 1, 2026
Risk assessments are often mandated within the juvenile justice system (JJS). Yet, it is unclear whether these protocols reflect equitable clinical tools, and little is known about the community's perspectives on commonly assessed risk domains. In re... read more 
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