Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy

Area of Science:

• Gastroenterology and Medical Imaging
• Artificial Intelligence in Medicine

Background:

• Early detection and treatment of precancerous adenomas and early-stage colorectal cancer significantly reduce cancer prevalence and mortality.
• Advances in endoscopic devices and imaging technology have improved the detection and pathological diagnosis of colorectal lesions.
• Artificial intelligence (AI) is rapidly advancing in diagnostic imaging, particularly for colonoscopy.

Purpose of the Study:

• To review current AI research in colonoscopy.
• To discuss AI medical devices already approved for clinical practice.
• To explore the future prospects of AI in colonoscopy for improved colorectal cancer diagnosis and management.

Main Methods:

• Review of colonoscopy-related AI research.
• Analysis of approved AI medical devices in gastroenterology.
• Discussion of AI's role in enhancing diagnostic performance in colonoscopy.

Main Results:

• AI technology is increasingly integrated into clinical practice for colonoscopy.
• Approved AI devices are demonstrating potential for high-level diagnostic performance.
• AI is expected to improve diagnostic accuracy irrespective of endoscopist skill level.

Conclusions:

• AI holds significant promise for improving early detection and diagnosis of colorectal cancer via colonoscopy.
• The integration of AI into clinical practice is expected to enhance patient outcomes and reduce colorectal cancer mortality.
• Continued research and development in AI for colonoscopy are crucial for realizing its full potential.