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Updated: May 8, 2026

Artificial Intelligence Approaches to Assessing Primary Cilia

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

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

Cheng-Long Wang^1,2,3, Xiang-Yu Sui¹, Yi Zeng²

¹Department of Gastroenterology, National Clinical Research Center for Digestive Diseases, Changhai Hospital, Naval Medical University, Shanghai, China.

|July 21, 2025

Summary

This summary is machine-generated.

Accurately measuring colorectal polyp size is crucial for patient care. Artificial intelligence (AI)-assisted endoscopy shows promise for precise, real-time polyp size measurement, though more research is needed.

Keywords:

Artificial intelligence Colonoscopy Colorectal polyp Polyp size measurement

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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.