AI Medical Compendium

Disulfidptosis in osteoarthritis: Role of SLC2A3 downregulation and potential therapeutic implications.

Experimental gerontology Jan 31, 2026

OBJECTIVE: Disulfidptosis is a newly recognized form of regulated cell death characterized by actin cytoskeleton collapse under disulfide stress. Recent studies suggest it may significantly contribute to osteoarthritis (OA), though its exact role in ... read more

OMOM SmartScan provides noninferior assessment of Lewis score and CECDAI in Crohn's disease vs full-video review.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Jan 31, 2026

BACKGROUND: Small bowel capsule endoscopy (SBCE) is central to Crohn's Disease (CD) care but limited by lengthy review and reader variability. We tested whether an artificial-intelligence (AI)-triaged, human-reviewed workflow - SmartScan, SS - can se... read more

Evaluation of large language models as decision support tools for head and neck cancer management: A blinded multidisciplinary simulation study.

Oral oncology Jan 31, 2026

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large language models (LLMs) may support guideline-based decision-making, although performance in complex onco... read more

Simulation-based evaluation of ChatGPT for healthcare associated infection surveillance using validated case scenarios.

American journal of infection control Jan 31, 2026

BACKGROUND: Surveillance for healthcare-associated infections is central to infection prevention but remains complex, resource-intensive, and variable. Large language models like ChatGPT offer potential support but have not been evaluated for applyin... read more

Six-axis robotic extrusion of hybrid hydrogels for biomimetic airway model fabrication.

Journal of biomaterials applications Jan 31, 2026

Respiratory diseases remain a major global health burden, motivating the need for improved experimental lung models that capture both anatomical geometry and mechanical compliance. Traditional three-axis 3D printers face limitations in replicating th... read more

MMRCL: An interpretable multi-modal deep learning framework for predicting hERG blockers.

Computational biology and chemistry Jan 31, 2026

The human ether-a-go-go-related gene (hERG) encodes a voltage-gated potassium channel essential for cardiac action potential repolarization. Drug-induced hERG inhibition can prolong the QT interval, causing severe heart diseases like torsade de point... read more

Implementation and current status of frailty assessment in Japanese hospitals: Processes, epidemiology, and future directions.

Bioscience trends Jan 31, 2026

Frailty has become a pressing health concern in Japan as it has entered a super-aged society. Early identification of frailty is essential to preventing disability, hospitalization, and dependency on long-term care, and yet the implementation of stan... read more

Event-triggered decentralized adaptive critic learning control for interconnected systems with nonlinear inequality state constraints.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2026

In this paper, an event-triggered decentralized adaptive critic learning (ACL) control method is proposed for interconnected systems with nonlinear inequality state constraints. First, by introducing a slack function, the nonlinear inequality state c... read more

Development of an interpretable machine learning model for predicting 4-year chronic kidney disease risk in elderly hypertensive patients.

International journal of medical informatics Jan 31, 2026

INTRODUCTION: Age and hypertension are key drivers of renal impairment, predisposing older hypertensive adults to faster kidney function decline and higher mortality. We aim to develop an interpretable machinelearning model to predict 4-year chronic ... read more

Multisite derivation of a machine learning algorithm using high sensitivity troponin to predict major adverse cardiac events in the emergency department.

International journal of cardiology Jan 31, 2026

OBJECTIVE: To develop a machine learning (ML) algorithm to stratify risk for major adverse cardiac events (MACE) within 30 days in emergency department (ED) patients undergoing troponin testing. DESIGN: Retrospective cohort analysis using extreme gra... read more

Artificial Intelligence Medical Compendium