Artificial intelligence in breast cancer diagnostics

Caterina Am La Porta; Stefano Zapperi

doi:10.1016/j.xcrm.2022.100851

Artificial intelligence in breast cancer diagnostics

Cell Rep Med. 2022 Dec 20;3(12):100851. doi: 10.1016/j.xcrm.2022.100851.

Authors

Caterina Am La Porta¹, Stefano Zapperi²

Affiliations

¹ Department of Environmental Science and Policy, Center for Complexity & Biosystems, University of Milan, via Celoria 10, 20133 Milan, Italy; CNR - Consiglio Nazionale delle Ricerche, Istituto di Biofisica, via Celoria 10, 20133 Milan, Italy. Electronic address: caterina.laporta@unimi.it.
² Department of Physics, Center for Complexity & Biosystems, University of Milan, via Celoria 16, 20133 Milan, Italy; CNR - Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l'Energia, Via R. Cozzi 53, 20125 Milano, Italy.

Abstract

Since breast cancer deaths are mainly due to metastasis, predicting the risk that a primary tumor will develop metastasis after a first diagnosis is a central issue that could be addressed by artificial intelligence. To overcome the problem posed by limited availability of standardized datasets, algorithms should include biological insight.

MeSH terms

Algorithms
Artificial Intelligence*
Breast Neoplasms* / diagnosis
Breast Neoplasms* / pathology
Female
Humans