BUZATTO, Isabela Panzeri Carlotti; TIEZZI, Daniel Guimarães; RECIFE, Sarah Abud; BONINI, Ruth Morais; MIGUEL, Licerio; SILVESTRE, Liliane; ONARI, Nilton; FAIM, Ana Luiza Peloso Araujo. Machine learning can reliably predict malignancy of BI-RADS 4a and 4b breast lesions based on clinical and ultrasonographic features. Mastology, Rio de Janeiro, v. 33, n. suppl.1, 2026. DOI: 10.29289/259453942023V33S1002. Disponível em: https://mastology.org/journal/article/view/1531. Acesso em: 29 apr. 2026.