AI Medical Compendium

Artificial Intelligence for Identifying Patient-Reported Outcome and Experience Measures in Oncology: Retrospective Cross-Sectional Study Using ClinicalTrials.gov.

Journal of medical Internet research Apr 16, 2026

BACKGROUND: Traditional health care systems have evolved to increasingly recognize patients' perspectives as key to improving the quality of care, especially in oncology. Hence, patient-reported outcome measures (PROMs) and patient-reported experienc... read more

The Effectiveness of Publisher-Based Artificial Intelligence Models.

Nurse educator Apr 16, 2026

Large Language Models in Cardiology: Systematic Review.

JMIR cardio Apr 16, 2026

BACKGROUND: Large language models (LLMs) are increasingly used in health care, but their role in cardiology has not yet been systematically evaluated. OBJECTIVE: This review aimed to assess the applications, performance, and limitations of LLMs acros... read more

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold-Start Mitigation in Attribute Missing Graphs.

IEEE transactions on cybernetics Apr 16, 2026

In real-world graphs, node attributes are often incomplete due to acquisition costs or privacy restrictions, reducing representation quality and harming downstream predictions in graph neural networks (GNNs). A common remedy is feature-propagation-ba... read more

Mamba-ACP: a Hybrid State-Space and Transformer Framework for Interpretable Anticancer Peptide Prediction.

IEEE transactions on computational biology and bioinformatics Apr 16, 2026

Anticancer peptides (ACPs) represent a promising class of therapeutic agents that selectively destroy cancer cells while sparing healthy tissues. Despite their potential, biological challenges-including poor biochemical stability, limited tumor selec... read more

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning.

IEEE transactions on pattern analysis and machine intelligence Apr 16, 2026

Equivariant Graph Neural Networks (GNNs) have achieved remarkable success across diverse scientific applications. However, existing approaches face critical efficiency challenges when scaling to large geometric graphs and suffer significant performan... read more

Artificial Intelligence Design for Race-Based Prostate Cancer Stage Classification With Multilayer Perceptron: Feature Selection Optimization Approach.

JMIR formative research Apr 16, 2026

BACKGROUND: Prostate cancer progression exhibits significant variability influenced by biological and racial factors. DNA methylation profiling has shown potential in early cancer detection, but its integration with machine learning across racially d... read more

The long and winding road: the resilience of cervical cytology as a long-standing laboratory tool to aid the diagnosis of HPV-induced lesions.

Acta cytologica Apr 16, 2026

BACKGROUND: Despite molecular advancements, cervical cytology remains a resilient and fundamental laboratory tool in the prevention of cervical cancer. SUMMARY: This article revisits the historical trajectory of knowledge about HPV, from the first de... read more

Artificial intelligence for research capacity strengthening: Two reviews and a pathway to shift power in global health.

PLOS digital health Apr 16, 2026

Significant disparities persist in how researchers from low- and middle-income countries (LMICs) and high-income countries (HICs) participate in agenda-setting and knowledge production. Rapid advancement in artificial intelligence (AI) might contribu... read more

Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging.

PloS one Apr 16, 2026

Sex classification using neuroimaging data has the potential to revolutionize personalized diagnostics by revealing subtle structural brain differences that underlie sex-specific disease risks. Despite the promise of machine learning, traditional met... read more

Artificial Intelligence Medical Compendium