Image analysis using artificial intelligence, through advances such as machine learning or deep learning, is increasingly being applied to medical imaging. There has been considerable interest in using deep learning to detect various gastrointestinal disorders based on WCE imaging.

Wireless capsule endoscopy (WCE) allows physicians to examine the gastrointestinal tract by transmitting images wirelessly from a disposable capsule to a data recorder. Although WCE is the least invasive endoscopic technique for diagnosing gastrointestinal disorders, interpreting a patient undergoing WCE requires considerable time and training.