Colorectal Surgical Intelligence

Shih-Feng (Fredric) Huang, MD

A unified framework linking preoperative planning, intraoperative proficiency, and postoperative outcomes in robotic colorectal surgery.

ORCID · Email · Publications · About

Attending Colorectal Surgeon at Kaohsiung Veterans General Hospital. Concurrently a PhD student in Computer Science (Medical Informatics track) at National Cheng Kung University.

Research lives at the intersection of minimally invasive colorectal surgery, machine learning, and surgical video analysis. The goal: turn the implicit judgments of an experienced surgeon into measurable, reproducible quantities.

Selected recent work

• A fully automated CT-based pelvimetry pipeline for quantifying mid-pelvic surgical workspace in rectal cancer. International Journal of Computer Assisted Radiology and Surgery · 2026 · doi:10.1007/s11548-026-03606-2
• Technical proficiency assessment of robotic intracorporeal single-stapling colorectal anastomosis using video-based RA-CUSUM. International Journal of Colorectal Disease · 2026 · doi:10.1007/s00384-025-05078-3
• Machine learning–based risk modeling for safety-focused learning curve assessment in robotic left-sided colorectal cancer surgery. Journal of Robotic Surgery · 2026 · doi:10.1007/s11701-025-03088-5

14 peer-reviewed articles since 2021 — first author on 11. See Research for the full framework, or Publications for the complete list.