Use of Artificial Intelligence to assess the quality of cleanliness of esophagogastroduodenoscopy

Aims A detailed examination in optimal conditions during upper gastrointestinal endoscopy is essential to identify premalignant lesions and early-stage neoplasms. Currently, there are no validated scales to evaluate the cleanliness during esophagogastroduodenoscopy. The objective of this study was to evaluate the potential of Artificial Intelligence (AI) to automatically determine the quality of cleanliness during esophagogastroduodenoscopy