Frontiers

Multimodal machine learning for menopause status prediction using LLM-extracted ultrasound features

The assessment of menopausal status is crucial for individualized health management and risk stratification of chronic diseases in women. The traditional assessment of menopause mainly relies on serum ...
The Lancet

The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort study

cGastroenterology and Hepatology, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy dDepartment of Medical and ...
IEEE

Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization

Abstract: This study evaluates metrics for tasks such as classification, regression, clustering, correlation analysis, statistical tests, segmentation, and image-to-image (I2I) translation in medical ...
IEEE

A Survey on Optimal Transport for Machine Learning: Theory and Applications

Abstract: Optimal Transport (OT) theory has seen increasing attention from the computer science community due to its potency and relevance in modeling and machine learning (ML). OT provides powerful ...