AI Medical Compendium

Artificial intelligence risk stratification from dynamic digital subtraction angiography radiomics predicts pulmonary embolism and associates with clinical outcomes in deep vein thrombosis: A retrospective cohort study.

Journal of vascular surgery. Venous and lymphatic disorders Feb 3, 2026

OBJECTIVE: Current risk stratification for lower extremity deep vein thrombosis remains limited, often failing to identify high-risk patients for impending pulmonary embolism (PE) and leading to non-guideline-concordant overtreatment. We aimed to dev... read more

Multiplex live imaging approaches to interrogate the interplay of multiple signaling pathways.

Cell structure and function Feb 3, 2026

Multiplex live imaging enables simultaneous visualization of multiple signaling pathways in living cells, offering real-time insights into complex cellular networks. This methodology is essential in research fields such as cancer biology, where signa... read more

Machine learning-based prediction of CAC-defined cardiovascular risk using routine health examination data: a retrospective cross-sectional study in a Taiwanese population.

Journal of the Formosan Medical Association = Taiwan yi zhi Feb 3, 2026

BACKGROUND: Early identification of individuals at elevated cardiovascular risk using routine health examination data is essential for preventive cardiology. Machine learning (ML) offers a scalable and non-invasive approach to enhance risk stratifica... read more

Air quality prediction model based on deep learning hybrid framework.

Scientific reports Feb 3, 2026

As modernization and industrialization continue to accelerate, air pollution has become an increasingly pressing problem. Air quality prediction is considered an essential technical support for air pollution prevention and control. To achieve more ac... read more

AI Agent for Delirium Screening among Patients in Oncology and Cardiac Intensive Care Units: A Proof-of-Concept Study.

European journal of cardiovascular nursing Feb 3, 2026

AIM: To develop and evaluate an autonomous artificial intelligence (AI) agent to support nurse-led delirium screening and guideline-concordant prevention and management. METHODS AND RESULTS: We constructed a delirium-specific knowledge graph from pub... read more

Machine learning-based COVID-19 prognostic models lag behind in reporting quality: findings from a TRIPOD/TRIPOD + AI systematic review.

Diagnostic and prognostic research Feb 3, 2026

BACKGROUND: Reporting of COVID-19 prognostic models frequently falls short of established standards. The TRIPOD checklist and its 2024 AI extension (TRIPOD + AI) provide a comprehensive framework for assessing reporting quality. We therefore evaluate... read more

Implementation of AI systems in the clinical laboratory: insights from an expert survey and recommendations for best practice.

Clinical chemistry and laboratory medicine Feb 3, 2026

OBJECTIVES: Despite growing interest in artificial intelligence (AI) and machine learning (ML), many laboratory professionals lack experience with developing in-house AI systems or implementing those supplied by external providers. The IFCC Committee... read more

Prediction of risk factors and electrocardiographic changes in chronic kidney disease patients.

Journal of basic and clinical physiology and pharmacology Feb 3, 2026

OBJECTIVES: Chronic kidney disease (CKD) is a global health issue with significant morbidity and mortality, particularly due to cardiovascular events. Early identification and management of risk factors are crucial to prevent CKD progression and comp... read more

K-MIMIC: a nationwide Korean multi-institutional Multimodal intensive care dataset.

Korean journal of anesthesiology Feb 3, 2026

BACKGROUND: Recent advancements in critical care have highlighted the need for comprehensive, multimodal datasets to support clinical decision-making and advancing artificial intelligence (AI) research. However, such datasets are scarce in Asia. We d... read more

Comparison of large language models and conventional machine learning in postoperative outcome prediction: a retrospective, multi-national development and validation study.