Assessment of the learning curve of robotic liver resection using complexity-adjusted CUSUM analysis
Jiwon Han, Hyokee Kim, Wan Joon Kim · 2026
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Description
Jiwon Han, Hyokee Kim, and Wan Joon Kim gauged how fast a surgeon learns robotic liver surgery, in a study from twenty twenty-six. They drew on one surgeon's cases at a single center from twenty seventeen to twenty twenty-five. They used a running-sum method adjusted for how hard each case was. Fifty-five robotic cases and one hundred forty-nine keyhole cases were weighed.
The curve bent at case eleven for robotic surgery, against case fifty for keyhole surgery. Time per case fell from two hundred fifteen minutes to one hundred forty-five. Blood loss fell by more than half. No case switched to open surgery, and safety held steady. The authors say deep keyhole skill helps a surgeon shift to the robot fast, since hard cases came from the start.
Catalog record
| CREATOR | Jiwon Han, Hyokee Kim, Wan Joon Kim |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |