Papers
5
Total Citations
132
H-Index
5
About
Sung Tae Cho is a physician-researcher whose work spans robotic surgery, urologic oncology, and the application of artificial intelligence in clinical medicine. His research has made meaningful contributions to two distinct but complementary fields: rehabilitation robotics and urological surgery. An early influential work, a 2018 systematic review of robot-assisted gait training in subacute stroke patients — now cited 68 times — demonstrated his ability to synthesize evidence across randomized controlled trials to guide clinical practice. More recently, Cho has emerged as a leading voice in AI-driven surgical innovation, publishing multiple high-impact studies in 2024 exploring deep learning for real-time semantic segmentation during robotic prostatectomy, including comparative analyses of convolutional neural networks and transformer architectures. His comprehensive review of AI applications in urologic oncology further underscores his commitment to translating machine learning advances into practical urological care. With hands-on surgical experience dating to his 2012 report on robot-assisted radical cystectomy with orthotopic neobladder reconstruction, Cho bridges technical surgical expertise with cutting-edge computational research, making him a distinctive and forward-looking figure in urological and robotic medicine.
Research Focus
Key Achievements
Top Papers
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- 3Applications of artificial intelligence in urologic oncology23 citations · 2024
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