AI Model Achieves Expert-Level Accuracy in Non-Invasive Breast Cancer Diagnosis Using MRI Data
2 Articles
2 Articles
AI model achieves expert-level accuracy in non-invasive breast cancer diagnosis using MRI data
Researchers from the Hong Kong University of Science and Technology (HKUST) have developed Mixture of Modality Experts (MOME), a large artificial intelligence (AI) model for non-invasive breast cancer diagnosis. Trained on China's largest multiparametric MRI (mpMRI) breast cancer dataset, MOME achieves expert-level accuracy in classifying tumor malignancy, comparable to that of radiologists with five+ years of experience.
Revolutionizing Breast Cancer Diagnosis: HKUST Launches Large AI Model “MOME” for Testing in Over Ten Hospitals
Revolutionizing Breast Cancer Diagnosis: HKUST Launches Large AI Model “MOME” for Testing in Over Ten Hospitals - Preview Anonymous (not verified) Thu, 06/05/2025 - 16:25 The Hong Kong University of Science and Technology (HKUST) announced today that its School of Engineering researchers have developed Mixture of Modality Experts (MOME), a groundbreaking large artificial intelligence (AI) model for non-invasive breast cancer diagnosis. Trained …
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