Artificial Intelligence Medical Compendium

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

Showing 19,641 to 19,650 of 215,899 articles

Global patterns of air pollution-attributable neonatal preterm birth mortality rates: a machine learning analysis using LSTM autoencoder and K-means clustering.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Neonatal preterm birth is a leading cause of neonatal mortality worldwide, and maternal exposure to air pollution is increasingly recognized as a contributing factor. Quantifying the global burden of deaths attributable to air pollution is essential ... read more 

The Integration of Artificial Intelligence in Radiation Medical Physics: Insights from an International Survey with Regional Variability.

Journal of radiological protection : official journal of the Society for Radiological Protection
BACKGROUND: Artificial intelligence (AI) is considered to be a leading technology in radiation medical physics, which has the potential for improving efficiency and precision in imaging, radiotherapy, and nuclear medicine. Nonetheless, its applicatio... read more 

Deep learning-based intraluminal gas modeling for anatomically accurate synthetic CT in MRI-based radiation therapy.

Biomedical physics & engineering express
Stochastic bowel and rectal gas complicates MRI/CT deformable image registration (DIR) for synthetic CT (sCT) generation, requiring manual corrections. We propose a DIR-free, two-stage deep learning framework to improve intraluminal gas definition in... read more 

Wearable Sensors for Monitoring Neurogenic Dysphagia: A Scoping Review.

Progress in biomedical engineering (Bristol, England)
Neurological disorders, such as Parkinson's disease and stroke, often lead to neurogenic dysphagia, a swallowing disorder that compromises nutrition and increases the risk of malnutrition, aspiration of food, and even death. Although instrumental ass... read more 

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

BMJ mental health
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
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
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
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
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
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