Overcoming barriers to implementation of artificial intelligence in gastroenterology.

Artificial intelligence is poised to revolutionize the field of medicine, however significant questions must be answered prior to its implementation on a regular basis. Many artificial intelligence algorithms remain limited by isolated datasets which may cause selection bias and truncated learning for the program. While a central database may solve this issue, several barriers such as security, patient consent, and management structure prevent this from being implemented.

Imaging for Barrett's esophagus: state of the art.

Purpose Of Review: Barrett's esophagus is the premalignant condition for esophageal cancer and the diagnosis of esophageal adenocarcinoma on index endoscopy is increasing. Many advanced endoscopic techniques are available and aim to identify Barrett's esophagus-associated neoplasia earlier, thereby preventing progression into malignancy.

Recent Findings: It is well established adherence to Seattle protocol increases dysplasia detection but leaves large portions of mucosa unsampled.

Colorectal cancer screening: Choosing the right test.

Colorectal cancer, the second most common type of cancer and cause of cancer-related deaths in the United States, can largely be prevented by screening. The 2 most used methods in the United States are colonoscopy and fecal immunochemical testing (FIT). FIT is noninvasive but must be done yearly for optimal performance and, if positive, must be followed by colonoscopy.