AI Medical Compendium

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

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

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

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

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

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

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

Hybrid imaging-clinical model for predicting microvascular invasion in hepatocellular carcinoma using deep learning-derived features from CT.

Physical and engineering sciences in medicine Jan 19, 2026

The role of adipose tissue in predicting microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) remains unclear. This study proposes a method that integrates deep learning and machine learning techniques to investigate the role ... read more

A Guided Sampling Enhanced Rapidly-Exploring Random Tree Path Planning Algorithm for Robot-Assisted Flexible Needle Insertion.

Annals of biomedical engineering Jan 19, 2026

Percutaneous puncture techniques have been widely adopted across various domains of modern clinical interventional therapy due to their high diagnostic specificity, minimal invasiveness, and rapid postoperative recovery. However, the nonholonomic kin... read more

Diagnostic and prognostic performance of artificial intelligence and radiomics in ankylosing spondylitis: a systematic review and meta-analysis.

Journal of robotic surgery Jan 19, 2026

Time-sequential prediction of postoperative complications after gastric cancer surgery using machine learning.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Jan 19, 2026

Fluorescence from dual molecular rotors allows sensitive detection of widespread brain pathology in a mouse model of Alzheimer's disease.

Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology Jan 19, 2026

Amyloid fibrils formed by the misfolding and aggregation of proteins are a pathological hallmark of many neurodegenerative conditions including Alzheimer's disease (AD). Although recent studies have shown that pre-fibrillar species including low mole... read more

Forecasting CO 2 emissions in Iraq using ARIMAX and artificial neural networks: a comparative modeling approach.

Environmental science and pollution research international Jan 19, 2026

Climate change is a critical global challenge driven by rising greenhouse gas emissions, particularly carbon dioxide CO 2 . Accurate forecasting of CO 2 emissions is essential for developing effective mitigation strategies. This study focuses o... read more

Artificial Intelligence Medical Compendium