AI Medical Compendium

Endurance exercise remodels pulmonary vein sleeve myocytes and promotes a proarrhythmic atrial substrate.

European heart journal May 25, 2026

BACKGROUND AND AIMS: The risk of atrial fibrillation (AF) is higher in endurance athletes. Pulmonary vein isolation (PVI) is effective in this group, implicating pulmonary vein (PV) remodelling, but underlying mechanisms are unclear. This study inves... read more

Integrative machine learning reveals interplay between epithelial and endothelial cells elevates mixed heavy metal-related colorectal cancer risk.

Journal of biomedical research May 25, 2026

Heavy metal contamination has become an emerging global health concern, yet the promoting effects of mixed heavy metal exposure on colorectal cancer risk remains poorly understood. In this study, plasma concentrations of 25 heavy metals were obtained... read more

Emerging analytical technologies for detecting microplastics and nanoplastics in food: bridging challenges and innovations.

Analytical and bioanalytical chemistry May 25, 2026

The ubiquitous presence of microplastics (MPs, < 5 mm) and nanoplastics (NPs, < 1 μm) in food systems has raised serious concerns regarding food safety and human health. Accurate detection and quantification, however, remain formidable challenges due... read more

Extended reality and emerging artificial intelligence in orthopedic surgical training: a scoping review of educational outcomes.

Journal of robotic surgery May 25, 2026

Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reality (XR) and artificial intelligence (AI) applications remain heterogeneous. To map the educational a... read more

A comparative analysis of parametric, semiparametric and machine learning models for survival prediction.

BMC medical research methodology May 25, 2026

BACKGROUND: Survival analysis is crucial in medical research. This study provides a comprehensive comparison of parametric, semi-parametric, and machine learning models for predicting disease-free survival (DFS) in colorectal cancer. METHODS: Using d... read more

Executive function profiles identify stable schizophrenia subtypes with distinct symptoms, biological markers and treatment responses: a cross-time clustering and validation study.

BMC medicine May 25, 2026

BACKGROUND: Executive function (EF) is a heterogeneous neuropsychological construct, and impairments in EF dimensions represent a core aspect of psychopathology in schizophrenia that varies across individual patients. Currently, how this inter-indivi... read more

[Clinical practice guidelines for the application of intelligent technology in spinal surgery (2026 edition)].

Zhonghua yi xue za zhi May 25, 2026

In response to the challenges of insufficient precision and limited safety associated with traditional techniques in the diagnosis and treatment of complex spinal diseases, intelligent technologies-represented by 3D visualization, additive manufactur... read more

i2b2-ML: module to facilitate machine learning in the informatics for integrating biology and the bedside platform.

JAMIA open May 25, 2026

OBJECTIVE: Although machine learning (ML) holds significant potential to transform healthcare, there has been a recent surge in research output that often lacks methodological rigor, contributing to a reproducibility crisis. Additionally, the growing... read more

Emerging applications of traditional and generative artificial intelligence in Liver Transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society May 25, 2026

Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching, intraoperative management, and post-transplant care. Historically, applications have relied on tra... read more

A machine learning and physics-informed framework for predictive modeling of gemcitabine nanocomposite cytotoxicity.

Computational biology and chemistry May 25, 2026

BACKGROUND: Gemcitabine is an important chemotherapeutic agent that suffers from poor bioavailability and drug resistance. Although the nanocomposite delivery systems are highly promising, their optimization for efficient therapy is quite challenging... read more

Artificial Intelligence Medical Compendium