Namkee Oh, MD, PhD오남기 · Surgeon-ScientistScholar

Essay

The Standard of Verifiable Surgery / 검증 가능한 수술이라는 기준

A foundational note on what surgical intelligence must measure, explain, and verify before it can earn clinical trust.

Editorial cycle

From observation to a citable position.

Ideas move from operative observation to a reviewed and citable public position.

  1. 01ObserveClinical question
  2. 02ConnectPublished evidence
  3. 03WriteWorking thesis
  4. 04ReviewAuthor approval
  5. 05PublishStable record
Evidence boundaryPrimary-source records only
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The Standard of Verifiable Surgery / 검증 가능한 수술이라는 기준

Editorial draft · This page remains noindex until author approval.

Foundational note · Editorial draft · Updated

Publication state
Editorial draftNoindex until author approval.
Evidence basis
4Connected public source records listed below.

Discussions of artificial intelligence in surgery often begin with accuracy. The more important clinical question is whether a system can explain which anatomical state and operative action informed its judgment, and how that judgment relates to patient safety and outcomes. Verifiable Surgery begins with that question.

The research trajectory follows the same direction: from post-transplant clinical outcomes, to structuring preoperative anatomy with MRI and CT, to recognizing biliary anatomy in real laparoscopic surgery, and to validating intraoperative navigation across institutions. The Surgical Data Factory connects these projects as components of an operating-room learning infrastructure.

The goal is not automation for its own sake. The goal is to make the operative process measurable, structured, linked to outcomes, and repeatedly testable. Autonomy is meaningful only within the boundaries established by that verification.

Connected public evidence