AI Medical Compendium

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

Machine learning-driven analysis of serum GDF15 trajectories identifies novel sepsis sub-phenotypes and predicts 28-day mortality.

Cytokine May 25, 2026

BACKGROUND: Sepsis heterogeneity complicates management and prognosis. Growth differentiation factor 15 (GDF15) may offer novel insights into sepsis sub-phenotyping. This study explored serum GDF15 trajectories for sub-phenotyping and prognostic stra... read more

Machine learning for the spatial prediction of soil and groundwater contamination: An integrative global review.

Journal of hazardous materials May 25, 2026

The spatial distribution of soil and groundwater pollutants is critical for effective remediation. Machine learning methods are increasingly applied in predicting pollutant distributions due to their efficiency, low cost, and ability to capture compl... read more

Two-Step Ensemble Convolutional Neural Networks for Colonoscopic Biopsy Classification Resembling Pathologists' Process.

Journal of Korean medical science May 25, 2026

BACKGROUND: Colorectal cancer (CRC) is a leading cause of mortality worldwide, and early examination via colonoscopy is increasingly used to prevent CRC mortality. Recently, studies have attempted utilizing artificial intelligence for the classificat... read more

Artificial Intelligence Medical Compendium