Clinical deployment of AI for prostate cancer diagnosis

"In The Lancet Digital Health, Liron Pantanowitz and colleagues evaluate an artificial intelligence (AI) system for detecting prostate cancer in whole slide images of core needle biopsies. Their approach localises and quantifies cancer area in addition to providing clinically relevant Gleason groupings, along with perineural invasion identification—a challenge often overlooked in similar studies. Their work is validated across two scanners and institutions, providing insights into how these algorithms perform in the presence of potential batch effects and other pre-analytic variation. The resulting study is distinguished by its real-world evaluation, showing how computer-aided diagnosis (CAD) tools might influence pathology practice in the near future..." Lire la suite