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Real-time AI using scalable non-expert crowdsourcing in colorectal surgery


Researchers demonstrate a methodology using non-expert crowdsourcing to obtain high-quality surgical tissue annotations for training AI models in real-time colorectal surgery assistance. This approach saved hundreds of expert hours and produced a model, Bowel.CSS, accurate in segmenting surgical tissues.

  • Study published on 22 April 2024
  • 545 accesses reported
  • 4 Altmetric mentions
  • Article number: 99 in npj Digital Medicine
  • Real-time AI uses near-infrared for tissue analysis