Peer-Reviewed Publication
Pathology2024;56(5):633-642.August 1, 2024Journal Article
Validation of prostate and breast cancer detection artificial intelligence algorithms for accurate histopathological diagnosis and grading: a retrospective study with a Japanese cohort.
Kris Lami1, Han-Seung Yoon1, Anil V Parwani2, Hoa Hoang Ngoc Pham1, Yuri Tachibana3, Chaim Linhart4, Maya Grinwald4, Manuela Vecsler4, Junya Fukuoka5
1Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
2Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
3Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan; Department of Pathology, Kameda Medical Center, Kamogawa, Japan.
4Ibex Medical Analytics, Tel Aviv, Israel.
5Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan; Department of Pathology, Kameda Medical Center, Kamogawa, Japan. Electronic address: fukuokaj@nagasaki-u.ac.jp.
Abstract
Prostate and breast cancer incidence rates have been on the rise in Japan, emphasising the need for precise histopathological diagnosis to determine patient prognosis and guide treatment decisions. However, existing diagnostic methods face numerous challenges and are susceptible to inconsistencies between observers. To tackle these issues, artificial intelligence (AI) algorithms have been develope…
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