Colorectal Polyp Size Measurement Faces Infinite Possibilities: Artificial Intelligence Is the Key

Area of Science:

• Gastroenterology
• Medical Imaging
• Artificial Intelligence

Background:

• Colorectal neoplasia presents a significant global health challenge.
• Accurate colorectal polyp size measurement is vital for risk stratification, treatment selection, and surveillance planning.

Purpose of the Study:

• To review advancements in colorectal polyp size measurement.
• To explore the potential of artificial intelligence (AI)-assisted measurements in endoscopy.

Main Methods:

• Review of current methods for polyp size measurement (ex vivo, visual estimation, endoscopic instruments).
• Exploration of AI integration with endoscopy for polyp size assessment.
• Discussion of limitations in current AI systems for real-time measurement.

Main Results:

• Existing methods for polyp size measurement have inherent limitations.
• AI-assisted endoscopy offers a promising approach for accurate polyp size determination.
• Current AI applications are restricted to non-real-time or reference media measurements.

Conclusions:

• AI-assisted endoscopy for precise, real-time automatic measurement of colorectal polyp size is a promising future direction.
• Further extensive studies are required to validate and implement AI-assisted measurement techniques.
• The integration of AI in endoscopy holds significant potential for improving colorectal cancer management.