Papers
2
Total Citations
10
H-Index
2
About
Hung-Yi Chen is a urological researcher whose work centers on improving functional outcomes after prostate cancer surgery, particularly the prediction and management of post-prostatectomy urinary incontinence (PPI). His major contributions lie at the intersection of artificial intelligence and clinical urology, where he has pioneered the use of deep learning models to automate the interpretation of post-operative cystography. In his highly cited 2023 study, Chen demonstrated that an AI system could rapidly and accurately identify favorable cystographic features predictive of continence recovery, offering a practical tool to reduce patient anxiety and guide rehabilitation. He further advanced the field by developing a simplified nomogram that integrates both clinical parameters and imaging data, making early incontinence prediction more accessible for routine practice. With over 10 citations across his key works, Chen’s research is recognized for its translational impact, bridging cutting-edge machine learning with everyday clinical decision-making. His work not only refines prognostic accuracy but also empowers surgeons and patients with a clearer, faster understanding of recovery trajectories following robotic-assisted radical prostatectomy.
Research Focus
Key Achievements
Top Papers
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