AI Medical Compendium

Fibroblast-like cells accumulate late in human coronary atherosclerosis contributing to necrotic core formation.

Cardiovascular research Jan 19, 2026

AIMS: Proliferation of arterial smooth muscle cells (SMCs) and their modulation to alternative mesenchymal phenotypes is central to atherosclerotic lesion growth. It has been studied extensively in mouse models, but a detailed analysis of when and wh... read more

Using Machine Learning to Predict First-Order Reaction Rate Constants of PFAS Degradation.

Bulletin of environmental contamination and toxicology Jan 19, 2026

Per- and polyfluoroalkyl substances (PFAS) are environmentally persistent pollutants, posing challenges for effective remediation. This study presented a machine learning (ML) framework to predict the first-order reaction rate constant (k) of PFAS de... read more

Kinetics Fluorocarbons Models, Chemical Machine Learning Environmental Pollutants Water Pollutants, Chemical

Artificial intelligence analysis of minimally invasive surgery data.

Journal of robotic surgery Jan 19, 2026

Deep-learning pipeline for automated skeletal muscle segmentation and sarcopenia detection.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology Jan 19, 2026

BACKGROUND: Sarcopenia, characterized by progressive skeletal muscle loss, is associated with poor outcomes in various diseases. Traditional methods for assessing muscle cross-sectional area using computed tomography (CT) scans are manual, time-consu... read more

Attenuation-based ultra-low-dose lung computed tomography at 0.1 mSv to 0.3 mSv effective dose in children.

Pediatric radiology Jan 19, 2026

BACKGROUND: Radiation dose reduction is essential in paediatric lung computed tomography (CT). Advances in energy-integrating detector CT and deep-learning reconstruction may enable ultra-low-dose imaging comparable to photon-counting CT. OBJECTIVE: ... read more

Preoperative CT imaging and machine learning models for predicting ureteral access sheath placement success in non-stented patients with ureteral calculi: a retrospective cohort study.

World journal of urology Jan 19, 2026

OBJECTIVE: This study aims to both develop and evaluate a predictive model for ureteral access sheath(UAS)placement success using preoperative CT-based 3D ureteral imaging and machine learning techniques. Specifically, it investigates the impact of u... read more

Retrospective Studies Tomography, X-Ray Computed Humans Machine Learning Adult Male Female Aged Ureteral Calculi Lithotripsy Predictive Value of Tests Preoperative Care Ureter Ureteroscopy Imaging, Three-Dimensional Treatment Outcome Middle Aged Cohort Studies

Systematic review and meta-analysis of AI accuracy in warfarin dose prediction across ethnic groups.

European journal of clinical pharmacology Jan 19, 2026

PURPOSE: The primary purpose of this study is to systematically evaluate how accurately artificial intelligence (AI) models can predict optimal warfarin dosing by incorporating both genetic variations-particularly in VKORC1 and CYP2C9-and clinical pa... read more

Warfarin Ethnicity Cytochrome P-450 CYP2C9 Vitamin K Epoxide Reductases Artificial Intelligence Anticoagulants Humans

Deep Learning-Based Classification of Temporal Stages of AT8-Labeled Tau Pathology After Experimental Traumatic Brain Injury.

Neuroinformatics Jan 19, 2026

Tauopathies are characterised by a progressive accumulation of hyperphosphorylated tau. However, early and intermediate stages remain challenging to quantify due to subtle and heterogeneous morphological characteristics. This study evaluates a deep l... read more

Animals Male Disease Models, Animal Mice, Inbred C57BL tau Proteins Tauopathies Disease Progression Deep Learning Mice Brain Injuries, Traumatic

Machine learning-based risk modeling for safety-focused learning curve assessment in robotic left-sided colorectal cancer surgery.

Journal of robotic surgery Jan 19, 2026

The transition from laparoscopic to robotic surgery for left-sided colorectal cancer raises safety concerns during the learning curve, particularly when complex cases are preferentially selected for the robotic platform. We evaluated a machine learni... read more

Robotic Surgical Procedures Learning Curve Operative Time Laparoscopy Postoperative Complications Female Middle Aged Machine Learning Humans Aged Colorectal Neoplasms Risk Assessment Retrospective Studies Male

Decoding Non-Neuronal Mechanisms and Therapeutic Targets in Huntington's Disease Through Integrative Transcriptomics and Machine Learning.

Journal of molecular neuroscience : MN Jan 19, 2026

Huntington's disease (HD) is a rare, inherited neurodegenerative disorder caused by the expanded CAG repeats in the huntingtin gene. The HD domain still lacks detailed knowledge of validated drug targets, limiting the effectiveness of classical metho... read more

Transcriptome Huntington Disease Gene Regulatory Networks Humans Machine Learning Gene Expression Profiling

Artificial Intelligence Medical Compendium