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Recognizing surgical phases in laparoscopic video

此語言的正文尚未翻譯,暫以英文顯示。

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.

臨床場景

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

工具與廠商

  • EndoNet
  • Cholec80

來源中報告了什麼

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.

來源

Twinanda et al., arXiv:1602.03012 · 2016年2月9日 · 年份 2016

收入索引 2026年1月8日

打開來源

標籤

  • 手術
  • 研究
  • 計算機視覺

供教育和市場掃描的目錄條目。不是醫療建議,也不是背書。

手術與機器人

廠商報告

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

廠商 · 2025閱讀案例

影像與放射

監管授權

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

新聞 · 2018閱讀案例

影像與放射

已發表

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

論文 · 2023閱讀案例
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