IEEE

An Oversampling-Enhanced Multi-Class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-Reported Outcomes

Abstract: Patient-reported outcomes (PROs), directly captured from cancer patients undergoing radiation therapy, play a crucial role in guiding clinicians’ counseling on treatment-related toxicities.
IEEE

A Hybrid Quantum-Classical Approach for Multi-Class Skin Disease Classification Using a 4-Qubit Model

Abstract: Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. This work ...
Frontiers

A foundation model-driven multi-view collaborative framework for semi-supervised 3D medical image segmentation

Background: 3D medical image segmentation is a cornerstone for quantitative analysis and clinical decision-making in various modalities. However, acquiring high-quality voxel-level annotations is both ...
Bloomberg L.P.

Musk’s Grok AI Generated Thousands of Undressed Images Per Hour on X

Elon Musk’s X has become a top site for images of people that have been non-consensually undressed by AI, according to a third-party analysis, with thousands of instances each hour over a day earlier ...
rmdopen.bmj

Prevalence and anatomical distribution of MRI lesions in axSpA and differences between patients with and without peripheral involvement: results from the ASAS classification cohort

Objective To evaluate the prevalence and anatomical distribution of inflammatory and structural MRI lesions in axial spondyloarthritis (axSpA) and compare these between patients with isolated axial ...