AI‍ model ‍Achieves Accuracy in MRI Breast Cancer Diagnosis

​ ‌ ‌ Updated June 5, 2025
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A new artificial intelligence⁤ model, dubbed MOME, is demonstrating expert-level accuracy in diagnosing breast cancer using MRI data. Researchers say MOME could reduce the number of unnecessary biopsies and improve treatment predictions.

In trial ⁢testing, MOME’s diagnostic accuracy was on par ⁤with that of experienced radiologists. The AI also showed promise in correctly identifying benign cases ‌among patients with suspicious breast imaging findings, potentially reducing ‌the need for biopsies. these ⁣patients, categorized as BI-RADS 4,‌ have a moderate likelihood of breast cancer, ranging from 2% to 95%.

the model also delivered‌ encouraging results in⁤ predicting how patients would respond to neoadjuvant chemotherapy, ⁣a treatment given before surgery to shrink tumors and ​improve‍ surgical outcomes. ⁢MOME also showed effectiveness⁤ in subtyping triple-negative breast cancer, an aggressive form of the⁣ disease that requires ‌specialized treatment.

“MOME’s high adaptability and⁣ interpretability ​hold tremendous potential⁣ for integration into clinical workflows,” said Prof.Chen Hao, Assistant​ Professor at the‌ Hong Kong University of Science and​ Technology (HKUST). He added that by enhancing ‍diagnostic reliability⁤ and‌ decision transparency, MOME highlights the‍ transformative role of AI in medical‍ imaging, enabling non-invasive and personalized cancer management.

“With the rapid progress of large AI models⁤ and imaging technologies, we‌ believe⁣ that models like MOME will play an increasingly vital role in empowering clinicians and improving patient outcomes in the near future,” said ⁢Prof. Chen Hao, Assistant ⁤Professor at the Hong Kong University of Science and Technology.

what’s next

The researchers believe that AI models like MOME will become increasingly crucial in helping doctors and improving patient outcomes ​as AI and ​imaging technologies continue ⁢to advance.