The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics

Urol Clin North Am. 2024 Feb;51(1):1-13. doi: 10.1016/j.ucl.2023.08.001. Epub 2023 Aug 30.ABSTRACTThe application of artificial intelligence (AI) on prostate magnetic resonance imaging (MRI) has shown promising results. Several AI systems have been developed to automatically analyze prostate MRI for segmentation, cancer detection, and region of interest characterization, thereby assisting clinicians in their decision-making process. Deep learning, the current trend in imaging AI, has limitations including the lack of transparency "black box", large data processing, and excessive energy consumption. In this narrative review, the authors provide an overview of the recent advances in AI for prostate cancer diagnosis and introduce their next-generation AI model, Green Learning, as a promising solution.PMID:37945095 | DOI:10.1016/j.ucl.2023.08.001

Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: Masatomo Kaneko Vasileios Magoulianitis Lorenzo Storino Ramacciotti Alex Raman Divyangi Paralkar Andrew Chen Timothy N Chu Yijing Yang Jintang Xue Jiaxin Yang Jinyuan Liu Donya S Jadvar Karanvir Gill Giovanni E Cacciamani Chrysostomos L Nikias Vinay Dudda Source Type: research