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Recognizing surgical phases in laparoscopic video

이 언어의 본문은 아직 없어 영어로 보여 줍니다.

EndoNet, from Twinanda and colleagues, is a research network that recognizes surgical phases and instruments in laparoscopic cholecystectomy video. It was demonstrated on the public Cholec80 collection. The result is about whether a model can tell where a case is in its sequence. It is not evidence that video analysis reduces complications, and it is not a product cleared to guide a surgeon’s hands.

임상 현장

Recorded laparoscopic cholecystectomy video used for computer-vision research, not a live advisory in the operating room.

도구와 공급사

  • EndoNet
  • Cholec80

출처가 보고한 내용

The paper reports phase and tool recognition performance on Cholec80. Those research metrics are not restated here as clinical outcomes. Read the paper for the figures.

출처

Twinanda et al., arXiv:1602.03012 · 2016년 2월 9일 · 연도 2016

색인 추가일 2026년 1월 8일

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  • 수술
  • 연구
  • 컴퓨터 비전

교육과 시장 탐색용 항목. 의학 조언도 추천도 아닙니다.

수술과 로봇

공급사 보고

Post-case analytics for robotic surgery coaching

Robotic systems such as the da Vinci platform can store console time, instrument use, and in some setups video that a surgeon reviews after the case. Vendors present this as coaching and quality review. The surgeon still operates. Nothing in this card says that analytics lower complications. That would be a separate study of a defined program.

da Vinci robotic platform · Post-case reports

공급사 · 2025사례 읽기

영상과 영상의학

규제

Autonomous diabetic retinopathy screening in primary care

IDx-DR, now marketed as LumineticsCore by Digital Diagnostics, was authorized to screen adults with diabetes for more-than-mild diabetic retinopathy without an eye specialist reading the photo first. A primary care team captures images on a specified retinal camera and the software returns a refer-or-rescreen result. It is not a complete eye examination. Pregnancy and several existing retinal conditions sit outside the labeled use.

LumineticsCore (IDx-DR) · Digital Diagnostics · Topcon NW400

뉴스 · 2018사례 읽기

영상과 영상의학

논문

AI-supported reading in the MASAI mammography trial

The MASAI trial in Sweden randomly assigned screening mammograms to AI-supported reading or standard double reading without AI. Transpara scored each exam and routed lower scores to a single reader and the highest score to double reading, with detection marks available on higher-risk exams. This card quotes the prespecified interim safety analysis, not a claim that every screening program should switch.

Transpara 1.7.0 · ScreenPoint Medical

논문 · 2023사례 읽기
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