Application of Artificial Intelligence to Gastroenterology and Hepatology.
Fiche publication
Date publication
octobre 2019
Journal
Gastroenterology
Auteurs
Membres identifiés du Cancéropôle Est :
Dr DEVIGNES Marie-Dominique, Pr PEYRIN-BIROULET Laurent
Tous les auteurs :
Le Berre C, Sandborn WJ, Aridhi S, Devignes MD, Fournier L, Smaïl-Tabbone M, Danese S, Peyrin-Biroulet L
Lien Pubmed
Résumé
Since 2010, substantial progress has been made in artificial intelligence (AI) and its application to medicine. AI is explored in gastroenterology for endoscopic analysis of lesions, in detection of cancer, and to facilitate the analysis of inflammatory lesions or gastrointestinal bleeding during wireless capsule endoscopy. AI is also tested to assess liver fibrosis and to differentiate patients with pancreatic cancer from those with pancreatitis. AI might also be used to establish prognoses of patients or predict their response to treatments, based on multiple factors. We review the ways in which AI may help physicians make a diagnosis or establish a prognosis and discuss its limitations, knowing that further randomized controlled studies will be required before the approval of AI techniques by the health authorities.
Mots clés
Deep learning, digestive system, machine learning, neural network
Référence
Gastroenterology. 2019 Oct 5;: