Ultrasound-based Detection and Malignancy Prediction of Breast Lesions Eligible for Biopsy: A Multi-center Clinical-scenario Study Using Nomograms, Large Language Models, and Radiologist Evaluation

Ali Abbasian Ardakani; Afshin Mohammadi; Taha Yusuf Kuzan; Beyza Nur Kuzan; Hamid Khorshidi; Ashkan Ghorbani; Alisa Mohebbi; Fariborz Faeghi; Sepideh Hatamikia; U. Rajendra Acharya

doi:10.1016/j.acra.2026.03.009

Ultrasound-based Detection and Malignancy Prediction of Breast Lesions Eligible for Biopsy: A Multi-center Clinical-scenario Study Using Nomograms, Large Language Models, and Radiologist Evaluation

Academic Radiology 2026 Open access

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Authors: Ali Abbasian Ardakani, Afshin Mohammadi, Taha Yusuf Kuzan, Beyza Nur Kuzan, Hamid Khorshidi, Ashkan Ghorbani, Alisa Mohebbi, Fariborz Faeghi, Sepideh Hatamikia, U. Rajendra Acharya

DOI: 10.1016/j.acra.2026.03.009

Cited by: 0

References: 5

Fields of Study & Subjects

Breast Lesions and Carcinomas AI in cancer detection Breast Cancer Treatment Studies

Publication details

Journal / source: Academic Radiology
Volume: 33
Issue: 7
Pages: 2869–2886
Publication date: 26 March 2026
Language: EN

References 5