Recognition of Postoperative Cystography Features by Artificial Intelligence to Predict Recovery from Postprostatectomy Urinary Incontinence: A Rapid and Easy Way to Predict Functional Outcome.

I-Hung ShaoHung-Cheng KanHung-Yi ChenYing-Hsu ChangLiang-Kang HuangYuan-Cheng ChuPo Hung LinKai-Jie YuCheng-Keng ChuangSee-Tong PangChun-Te Wu

Published in: Journal of personalized medicine (2023)

Postoperative cystography features can predict PPI recovery in patients with localized prostate cancer. A deep-learning model can facilitate the identification process. Further validation and exploration are required for the future development of artificial intelligence (AI) in this field.

Keyphrases

artificial intelligence
deep learning
machine learning
prostate cancer
big data
urinary incontinence
patients undergoing
convolutional neural network
radical prostatectomy
protein protein
loop mediated isothermal amplification