Artificial Intelligence Medical Compendium

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

Showing 19,241 to 19,250 of 214,800 articles

Emulated trial of artificial intelligence use and subsequent depressive outcomes in a survey of US adults.

BMJ mental health May 13, 2026
BACKGROUND: Generative artificial intelligence (AI) use has been suggested to have adverse mental health consequences but a causal relationship has not been examined. OBJECTIVE: To simulate a randomised controlled trial of AI use in a work, school or... read more 

Performance of large language models (GPT-5.2, Gemini 3 Pro, Claude Sonnet 4.6 and Grok 4.1) on the Fellowship of The Royal College of Surgeons Urology Part A examination.

BMJ open May 13, 2026
OBJECTIVES: To assess and compare the performance of four contemporary frontier large language models (LLMs)-GPT-5.2 (OpenAI), Gemini 3 Pro (Google DeepMind), Claude Sonnet 4.6 (Anthropic) and Grok 4.1 (xAI)-on a simulated Fellowship of The Royal Col... read more 

Prediction of Oswestry Disability Index and Numeric Rating Scale scores after lumbar spine surgery: machine learning model development and fairness assessment.

BMJ open May 13, 2026
BACKGROUND: One-third of patients operated for degenerative conditions in the lumbar spine do not report substantial improvement after 12 months. Most previous outcome prediction models are classifiers. This constrains nuances in prediction and use f... read more 

Developing and validating an electronic health record-embedded AI model for managing multimorbid hospitalisation risk in patients with chronic RESpiratory disease (AiRES): a study protocol.

BMJ open May 13, 2026
BACKGROUND: Chronic respiratory diseases (CRDs), such as asthma and chronic obstructive pulmonary disease (COPD), are heterogeneous conditions with a high multimorbidity burden. However, existing risk assessment instruments prioritise physiological m... read more 

Canadian radiology: 2026 update.

Diagnostic and interventional imaging May 13, 2026
Canadian radiology continues to produce scholarship that is technically sophisticated, clinically relevant, and increasingly attentive to the wider systems in which imaging is delivered. The purpose of this article was to provide an update on selecte... read more 

CFTR modulator therapy reshapes airway inflammation in cystic fibrosis: Insights from proteomics and machine learning.

Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society May 13, 2026
BACKGROUND: CFTR modulators, including Elexacaftor/Tezacaftor/Ivacaftor (ETI), have markedly improved clinical outcomes for people with cystic fibrosis (pwCF), but the molecular impact on airway inflammation remains incompletely understood. This stud... read more 

Corrigendum to 'Artificial Intelligence-Driven Mapping of Global Microsurgery Research: Dual Automation for Data and Classification' [Journal of Surgical Research Volume 322 (2026) 178-195].

The Journal of surgical research May 13, 2026
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A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

Journal of the National Medical Association May 13, 2026
The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. However, current understanding of how to establish trustworthy human-AI partnerships is in its infancy... read more 

A hierarchical transformer-graph framework for explainable student engagement estimation in E-learning videos.

Scientific reports May 13, 2026
The importance of understanding student engagement in learning with AI technologies is particularly relevant for the case of adaptive learning. Most current vision-based methods rely solely on appearance-based emotion detection using facial expressio... read more 

Development and validation of a deep learning model for liver shear stiffness regression using abdominal multiparametric MRI across multiple sites and vendors.

European radiology May 13, 2026
OBJECTIVE: Liver stiffness measurement is important for assessing chronic liver disease (CLD). MR elastography (MRE) requires specialized hardware and expertise. Non-invasive deep learning (DL) models using multiparametric abdominal MRI may provide a... read more 
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