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Comparing artificial intelligence to humans for endoscopic diagnosis of gastric neoplasia: An external validation study.

Sabrina Xin Zi QuekJonathan W J LeeZhu FengMin Min SohMasayuki TokanoYeoh Khay GuanJimmy B Y SoTomohiro TadaCalvin Jianyi Koh
Published in: Journal of gastroenterology and hepatology (2023)
We demonstrated that an AI system developed in another health system was comparable in diagnostic accuracy in the evaluation of static images. AI systems are faster and not fatigable and may have a role in augmenting human diagnosis during endoscopy. With more advances in AI and larger studies to support its efficacy it would likely play a larger role in screening endoscopy in future.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • endothelial cells
  • convolutional neural network
  • small bowel
  • ultrasound guided
  • optical coherence tomography
  • endoscopic submucosal dissection