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AI models analyzing multiomics data can guide microbiome-based dietary interventions and support obesity management to prevent and manage chronic diseases.

YOLOv11 Nano achieved multiclass detection and Gartland I-III classification of pediatric supracondylar fractures with ~91-93% accuracy across validation strategies, improving further with bone segmentation.

An 8-hour hands-on AI rotation delivered to 27 radiology residents over three years was completed by all participants with consistent structure, yielding approximate 80-90% post-training quiz performance and favorable ratings for overall value.

Mistral-NeMo verified orthopaedic lower-extremity billing by correctly identifying 90% of true CPT codes and rejecting 99.8% of incorrect codes when provided with billing descriptions.

Multi-model machine learning screening of 6PPD-Q-IBD targets identified 60 overlapping targets and prioritized six core genes with NR1H4 as a key mediator of intestinal epithelial injury.

Canadian medical students who were interested in radiology rated procedural roles as more important and reported greater perceived career sustainability despite AI integration.

AI systems can generate rapid visual summaries directly from musculoskeletal radiology report text, with the best model producing clinically useful images in a majority of tested cases.

Digital pathology and AI tools using high-resolution whole-slide images are expanding diagnostic capacity for liver cancer, liver disease, and transplantation, with growing clinical access that may help address laboratory challenges.

Gen Z students in higher education reported optimism that generative AI could improve learning through enhanced productivity, efficiency and personalized learning and expressed intentions to use it for educational purposes.

AI-enabled Doubly Robust Machine Learning IV analysis adjusted for nonrandom enrollment among Medicare beneficiaries with cancer and showed that apparent higher inpatient and outpatient use under PDP was explained by selection, supporting more accurate evaluation of benefit integration.

A two-layered RxCUI ingredient and ATC framework harmonized 214,080 discharge medication records from older adults into standardized representations, achieving 100% initial mapping via deterministic crosswalks to support transportable managed care AI tools.

A pharmacist-overseen AI system for provider organizations could reduce prescriber workload and increase first-pass approval rates by automating routine data extraction and submissions while routing complex cases to pharmacists.

AI models improve cardiovascular prevention by providing more precise, dynamic and personalized risk stratification than traditional scores and by enabling early detection of subclinical atrial fibrillation, left ventricular dysfunction and coronary disease through AI-enabled ECG and opportunistic imaging.

AI-based support systems could enhance safety and make xenotransplantation more reproducible when combined with gene-edited donors and refined immunosuppression.

District-wide implementation of an AI-enabled wound app with virtual command centre produced high patient satisfaction and perceived benefit, including improved communication and self-management confidence among app users.