AI Medical Compendium

Artificial Intelligence in Intensive Care Nursing: Signal Amplification and Epistemic Blind Spots.

Nursing & health sciences Jun 1, 2026

PEARL: integrative multi-omics classification and omics feature discovery via deep graph learning.

Bioinformatics (Oxford, England) Jun 1, 2026

MOTIVATION: Integrating multi-omics data provides valuable insights into biological processes by capturing information across multiple molecular layers, enabling a comprehensive understanding of complex diseases and driving advancements in precision ... read more

Triglyceride-Glucose-Waist-to-Weight Index: Novel Biomarker for Mild Cognitive Impairment in Older People With Sarcopenic Obesity.

Journal of cachexia, sarcopenia and muscle Jun 1, 2026

BACKGROUND: Sarcopenic obesity (SO) is closely associated with mild cognitive impairment (MCI). However, traditional body composition-based diagnostic criteria for SO fail to adequately incorporate insulin resistance, a key pathophysiological mechani... read more

Prediction of Cardiovascular Risk Using Machine Learning Based on Maximal Oxygen Consumption, Physical Fitness, and Anthropometry.

Clinical obesity Jun 1, 2026

Cardiovascular risk factors in adolescence, often persist into adulthood, with low cardiorespiratory fitness representing one of the strongest predictors of future cardiovascular disease. We aimed to classify cardiovascular risk associated with low c... read more

Comparing Accuracy of Cylindrical and Tapered Implants Using Autonomous Robotic System: A Randomized Controlled Trial.

Clinical implant dentistry and related research Jun 1, 2026

OBJECTIVES: This study aimed to systematically evaluate the effect of implant shape (cylindrical versus tapered implant) on the accuracy of placement using an autonomous robotic system in patients with single-tooth loss. MATERIALS AND METHODS: Forty ... read more

Machine learning-based risk warning for adolescents' prosocial behavior.

Applied psychology. Health and well-being Jun 1, 2026

Prosocial behavior plays a positive role in promoting adolescents' mental health and behavioral performance. Guided in ecological systems theory and social cognitive theory, this study used machine learning to identify the risk factors of adolescents... read more

Metabolomic Machine Learning Predictor for Adequate and Deep Response to UDCA in Non-Cirrhotic PBC.

Liver international : official journal of the International Association for the Study of the Liver Jun 1, 2026

BACKGROUND: Primary biliary cholangitis (PBC) patients exhibit heterogeneous responses to ursodeoxycholic acid (UDCA), with partial responders remaining at significant risk of disease progression. Current prognostic tools lack metabolic insights nece... read more

Robust and interpretable machine learning for affinity prioritization of designed protein interactors.

Protein science : a publication of the Protein Society Jun 1, 2026

Recent advances in computational protein design have resulted in a large pool of de novo interactors that necessitate efficient and robust tools for candidate prioritization. Here, we introduce Proffinity, a one-stop computational workflow employing ... read more

RETRACTION: Human-in-the-Loop Artificial Intelligence System for Systematic Literature Review: Methods and Validations for the AutoLit Review Software.

Cochrane evidence synthesis and methods Jun 1, 2026

[This retracts the article DOI: 10.1002/cesm.70059.]. read more

Quantifying the AI readiness gap: An international, multidisciplinary assessment of artificial intelligence literacy in the radiation oncology community.

Clinical and translational radiation oncology Jun 1, 2026

PURPOSE: The rapid integration of artificial intelligence (AI) into imaging-intensive fields like radiation oncology (RO) is transforming the clinical workforce from manual operators to supervisory validators, yet the baseline competencies required f... read more

Artificial Intelligence Medical Compendium