IEEE

Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Abstract: Deep learning-based models have revolutionized medical diagnostics by using Big Data to enhance disease diagnosis and clinical decision-making. However, their significant computational ...
Tech Xplore

New training method helps AI models handle messy, varied medical image data

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...
Journal of Medical Internet Research

Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

This paper is in the following e-collection/theme issue: e-Learning and Digital Medical Education (889) Substance and Alcohol Abuse in Adolescence (133) Machine Learning (2053) Substance Abuse (528) ...
IEEE

On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...