Peer-Reviewed Publication
NPJ Breast Cancer2022;8(1):129.December 6, 2022Journal Article
Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies.
Judith Sandbank1,2, Guillaume Bataillon3,4, Alona Nudelman1, Ira Krasnitsky2, Rachel Mikulinsky2, Lilach Bien2, Lucie Thibault3, Anat Albrecht Shach5, Geraldine Sebag2, Douglas P Clark2, Daphna Laifenfeld2,6, Stuart J Schnitt7,8, Chaim Linhart2, Manuela Vecsler2, Anne Vincent-Salomon9
1Institute of Pathology, Maccabi Healthcare Services, Rehovot, Israel.
2Ibex Medical Analytics, Tel Aviv, Israel.
3Diagnostic and Theranostic Medicine Division, Department of Pathology, Institut Curie, PSL University, Paris, France.
4Department of Pathology, Oncopole, Institut Claudius Regaud, Toulouse, France.
5Department of Pathology, Shamir Medical Center, Beer Yaakov, Israel.
6GenetikaPlus, Tel Aviv, Israel.
7Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
8Breast Oncology Program, Dana-Farber/Brigham Cancer Center, Boston, MA, USA.
9Diagnostic and Theranostic Medicine Division, Department of Pathology, Institut Curie, PSL University, Paris, France. anne.salomon@curie.fr.
Abstract
Breast cancer is the most common malignant disease worldwide, with over 2.26 million new cases in 2020. Its diagnosis is determined by a histological review of breast biopsy specimens, which can be labor-intensive, subjective, and error-prone. Artificial Intelligence (AI)-based tools can support cancer detection and classification in breast biopsies ensuring rapid, accurate, and objective diagnosi…
Create a free account to keep reading
Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.
Want unlimited research access? See Pro plans