Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

The Lancet Oncology

Feche de publicación: 4 October 2019

DOI: https://doi.org/10.1016/S1470-2045(19)30637-0

Autores: Prof Huiyan Luo, MD., Prof Guoliang Xu, MD., Chaofeng Li, PhD., Longjun He, MD., Linna Luo, MD., Zixian Wang, MD., et al.

Background: Upper gastrointestinal cancers (including oesophageal cancer and gastric cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep learning algorithms have made remarkable progress in medical imaging but their application in upper gastrointestinal cancers has been limited. We aimed to develop and validate the Gastrointestinal Artificial Intelligence Diagnostic System (GRAIDS) for the diagnosis of upper gastrointestinal cancers through analysis of imaging data from clinical endoscopies.