AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer DOI Creative Commons
Jiawei Zhang, Feng Ding, Yitian Guo

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 1, 2025

Biochemical recurrence (BCR) of prostate cancer (PCa) negatively impacts patients' post-surgery quality life, and the traditional predictive models have shown limited accuracy. This study develops an AI-based prognostic model using deep learning that incorporates androgen receptor (AR) regional features from whole-slide images (WSIs). Data 545 patients across two centres are used for training validation. The showed strong performances, with high accuracy in identifying regions AR expression BCR prediction. AI may help identify high-risk patients, aiding better treatment strategies, particularly underdeveloped areas.

Language: Английский

AI-based prediction of androgen receptor expression and its prognostic significance in prostate cancer DOI Creative Commons
Jiawei Zhang, Feng Ding, Yitian Guo

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 1, 2025

Biochemical recurrence (BCR) of prostate cancer (PCa) negatively impacts patients' post-surgery quality life, and the traditional predictive models have shown limited accuracy. This study develops an AI-based prognostic model using deep learning that incorporates androgen receptor (AR) regional features from whole-slide images (WSIs). Data 545 patients across two centres are used for training validation. The showed strong performances, with high accuracy in identifying regions AR expression BCR prediction. AI may help identify high-risk patients, aiding better treatment strategies, particularly underdeveloped areas.

Language: Английский

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