AI Medical Compendium

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

Systematic review of foundation models for structured electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026

PURPOSE: Foundation models pretrained on structured electronic health record (EHR) data promise improved predictive performance, sample efficiency and resilience to distribution shifts. However, model design, scale and use remain unclear. Objectives ... read more

Artificial intelligence in urology training Enhancing annotation, feedback, and evaluation in robotic, laparoscopic, and endoscopic surgery.

Canadian Urological Association journal = Journal de l'Association des urologues du Canada Jun 1, 2026

INTRODUCTION: The integration of artificial intelligence (AI) into surgical training is rapidly evolving, driven by advancements in machine learning. This review aimed to map the current landscape of AI's educational applications in urology. METHODS:... read more

Automated vs. manual segmentation for small renal mass imaging.

Canadian Urological Association journal = Journal de l'Association des urologues du Canada Jun 1, 2026

INTRODUCTION: Automated segmentation using artificial intelligence (AI) has the potential to rapidly perform three-dimensional (3D) segmentation of small renal masses (SRM). The objective of this study was to test for clinically and statistically sig... read more

GWAS and genomic prediction of crown rust resistance in the southern US elite oat (Avena sativa L.) germplasm.

The plant genome Jun 1, 2026

Crown rust (CR), caused by Puccinia coronata f. sp. avenae, is a major constraint to oat (Avena sativa L.) production in the southern United States. We dissected the genetic architecture of CR resistance and assessed genomic prediction in 234 winter ... read more

Integrated Workflow Finite Element Modeling of the Temporomandibular Joint: Toward a Methodical and Reproducible Approach.

Journal of biomechanical engineering Jun 1, 2026

This study presents a patient-specific parametric model of the temporomandibular joint, designed to be semi-automated, and reproducible for multiple patients. The numerical model is used to evaluate mandibular stress distribution under different inte... read more

A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice.

The plant genome Jun 1, 2026

Rice (Oryza sativa) is an important staple food, feeding more than half of the global population. A feasible improvement of rice yield is necessary to meet the ever-growing food demands. Genomic selection (GS), as an advanced breeding technique, enab... read more

PREDICTING POSTOPERATIVE OUTCOMES IN FULL-THICKNESS MACULAR HOLE REPAIR SURGERY: ChatGPT Versus Clinical Decision.

Retina (Philadelphia, Pa.) Jun 1, 2026

PURPOSE: To evaluate the ability of ChatGPT-5 to predict long-term anatomical and functional outcomes after full-thickness macular hole (FTMH) surgery, and to compare its performance with retinal specialists' predictions and real-world results. METHO... read more

Artificial Intelligence Medical Compendium