Artificial Intelligence in Digestive Endoscopy-Where Are We and Where Are We Going?

Area of Science:

• Medical Technology
• Gastroenterology
• Artificial Intelligence

Background:

• Artificial intelligence (AI) mimics human cognition and is increasingly integrated into medical fields.
• Digestive endoscopy benefits from AI advancements, moving beyond initial automated diagnostic tools.

Purpose of the Study:

• To explore the role and impact of artificial intelligence in digestive endoscopy.
• To highlight AI's potential in improving diagnostic accuracy and patient management.

Main Methods:

• Review of current applications of AI, including deep learning models, in endoscopy.
• Analysis of AI's utility in both upper and lower digestive tract examinations.

Main Results:

• AI demonstrates potential to increase polyp detection rates during colonoscopy.
• AI aids in identifying ulcerative colitis activity and diagnosing upper digestive diseases like GERD, Barrett's esophagus, and gastric cancer.

Conclusions:

• AI integration in digestive endoscopy faces regulatory, economic, and cultural challenges.
• Despite hurdles, AI is becoming a vital tool in digestive endoscopy, with ongoing research focused on advanced deep learning models.