AI Medical Compendium

Exploring the integration of large language models in human-robot collaboration: Effects on performance, mental stress, and trust.

Applied ergonomics Jan 20, 2026

As large language models (LLMs) become increasingly integrated into robotic systems, understanding their influence on human-robot collaboration (HRC) is critical for designing effective and user-centered human-robot interactions. This study investiga... read more

Artificial intelligence in knee osteoarthritis imaging and total knee arthroplasty: advances, challenges, and segmentation methods - A review.

The Knee Jan 20, 2026

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent degenerative joint diseases and a significant cause of disability. Total Knee Arthroplasty (TKA) is the standard treatment for advanced cases, but its success depends on accurate imag... read more

Acetyl tributyl citrate as a new risk factor for osteoporosis: An integrated study from multi-level toxicological assessment and experimental validation.

Ecotoxicology and environmental safety Jan 20, 2026

This study aimed to elucidate the toxicological effects and underlying mechanisms of the plasticizer acetyl tributyl citrate (ATBC) on osteoporosis (OP) development by integrating computational biology with experimental validation. Potential targets ... read more

Combined effects of persistent organic pollutants and endocrine-disrupting chemicals on thyroid disease risk: A WQS-XGBoost analysis of US population data.

Ecotoxicology and environmental safety Jan 20, 2026

To assess the combined effects of mixed persistent organic pollutants and endocrine-disrupting chemicals on thyroid disease risk, we analyzed data from 1847 participants in the National Health and Nutrition Examination Survey 2011-2014. Environmental... read more

Using Machine Learning to Predict Adverse Events in Patients Undergoing Transcatheter Left Atrial Appendage Occlusion.

JACC. Advances Jan 20, 2026

BACKGROUND: Standard cardiovascular risk models generally have limited performance and cannot predict rare outcomes. Machine learning may overcome these limitations. OBJECTIVES: This study sought to determine how predictive performance varies for sta... read more

Artificial Intelligence-Enhanced Electrocardiogram Models for Detection of Left Ventricular Dysfunction: A Comparison Study.

JACC. Advances Jan 20, 2026

BACKGROUND: Several artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown promise in detecting left ventricular systolic dysfunction (LVSD), but their head-to-head agreement and performance have not been independently compared... read more

Performance validation of a closed loop fully automated AI model for lung nodule stratification in screening cases.

Respiratory investigation Jan 20, 2026

BACKGROUND: Several limitations hinder the effectiveness of human-based lung cancer screening (LCS): high false-positive rates leading to unnecessary follow-up imaging, procedures, and surgeries; inter-reader variability; inconsistent Lung-RADS adher... read more

UniCAS: A foundation model for cervical cytology screening.

Cell reports. Medicine Jan 20, 2026

Cervical abnormality screening is pivotal for prevention and treatment. However, the substantial size of whole slide images (WSIs) makes examination labor-intensive and time-consuming. Current deep learning-based approaches struggle with the morpholo... read more

Microbiota-metabolome interplay in depression: Metabolic insights and diagnostic potential.

Cell reports. Medicine Jan 20, 2026

Mounting evidence highlights the interplay between gut microbiota, metabolism, and depression. In this study, we analyze fecal and serum metabolomes in first-episode depression and matched controls (n = 186), with validation in three independent coho... read more

[Advanced imaging diagnosis and therapeutic strategies for ischemic stroke].

Rinsho shinkeigaku = Clinical neurology Jan 20, 2026

In recent years, advances in imaging analysis technologies, including CT perfusion, MRI, and AI analysis, have extended the therapeutic time window for acute ischemic stroke to as long as 24 hours. In Japan, however, while MRI remains the predominant... read more

Artificial Intelligence Medical Compendium