Shih-Feng (Fredric) Huang, MD

Robotic Colorectal Surgical Intelligence: planning, proficiency, and outcomes

Attending Colorectal Surgeon at Kaohsiung Veterans General Hospital. Building a unified framework that links preoperative planning, intraoperative proficiency, and postoperative outcomes in robotic colorectal surgery.

Concurrently a PhD candidate in Computer Science (Medical Informatics track) at National Cheng Kung University.

Selected recent work

• A fully automated CT-based pelvimetry pipeline for quantifying mid-pelvic surgical workspace in rectal cancer. Int J CARS. 2026. doi
• Technical proficiency assessment of robotic intracorporeal single-stapling colorectal anastomosis using video-based RA-CUSUM. Int J Colorectal Dis. 2026. doi
• Machine learning–based risk modeling for safety-focused learning curve assessment in robotic left-sided colorectal cancer surgery. J Robotic Surg. 2026. doi

See Research for the full framework, or Publications for the complete list.

→ Flagship white paper coming June 2026.