Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward.

Journal: World journal of gastroenterology
Published Date:

Abstract

The present letter to the editor is related to the study with the title "Automatic detection of small bowel (SB) lesions with different bleeding risk based on deep learning models". Capsule endoscopy (CE) is the main tool to assess SB diseases but it is a time-consuming procedure with a significant error rate. The development of artificial intelligence (AI) in CE could simplify physicians' tasks. The novel deep learning model by Zhang seems to be able to identify various SB lesions and their bleeding risk, and it could pave the way to next perspective studies to better enhance the diagnostic support of AI in the detection of different types of SB lesions in clinical practice.

Authors

  • Silvia Cocca
    Gastroenterology and Endoscopy Unit, Azienda Ospedaliero Universitaria Policlinico di Modena, Modena 41121, Italy. silvia.cocca@gmail.com.
  • Giuseppina Pontillo
    Gastroenterology and Endoscopy Unit, Presidio Ospedaliero San Giuseppe Moscati (Aversa, CE) - ASL Caserta, Caserta 81100, Italy.
  • Giuseppe Grande
    Department of Gastroenterology and Digestive Endoscopy, Azienda Ospedaliero Universitaria di Modena, Modena 41121, Italy.
  • Rita Conigliaro
    Gastroenterology and Endoscopy Unit, Azienda Ospedaliero Universitaria Policlinico di Modena, Modena 41121, Italy.