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The use of artificial intelligence in reconstructive surgery for head and neck cancer: a systematic review.

Cyril Devault-TousignantMyriam HarvieEric BissadaApostolos ChristopoulosPaul TabetLouis GuertinHouda BahigTareck Ayad
Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2024)
Some models showed promising results. Predictors identified across studies were different than those found in existing literature, showing the added value of AI models. However, the algorithms showed inconsistent results, underlying the need for better-powered studies with larger databases before clinical implementation.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • case control
  • minimally invasive
  • systematic review
  • primary care
  • healthcare
  • coronary artery bypass
  • coronary artery disease