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An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators.

Danyal FerBokai ZhangRami AbukhalilVarun GoelBharti GoelJocelyn BarkerBindu KalesanIrene BarraganMary Lynn GaddisPablo Garcia Kilroy
Published in: Surgical endoscopy (2023)
AI can be used to identify surgical landmarks in RYGB comparable to the manual process. AI was more accurate to recognize some landmarks more accurately than surgeons. This technology has the potential to improve surgical training by assessing the learning curves of surgeons at scale.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • quality improvement
  • thoracic surgery
  • roux en y gastric bypass
  • high resolution
  • gastric bypass
  • robot assisted
  • human health
  • weight loss