New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
Nature

Will AI spark a scientific renaissance — or a diffuse monoculture?

Xizhe Zhang is a professor working across computer science and medicine at the Affiliated Brain Hospital of Nanjing Medical University and the School of Biomedical Engineering and Informatics, Nanjing ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Interpretable Deep Learning for Neuroimaging-Based Diagnostic Classification

Abstract: Deep neural networks (DNN) are increasingly being used in neuroimaging research for the diagnosis of brain disorders and understanding of human brain. Despite their impressive performance, ...