Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Colorectal neoplasia poses a severe health threat worldwide. The accurate measurement of polyp size is essential for risk stratification, selecting polypectomy techniques, and determining the surveillance interval.
Summary: The methods routinely used for measuring polyp size, including objective ex vivo measurement, subjective visual estimation by an endoscopist, and objective precise measurement using endoscopic instruments, all have limitations. Therefore, the integration of artificial intelligence (AI) with endoscopy has been explored as a promising method for measuring the size of colorectal polyps. However, current AI systems are limited to endoscopic reference media or nonprospective real-time measurements. Consequently, AI-assisted endoscopy for precise, real-time automatic measurement of colorectal polyp size holds great promise for the future. Nevertheless, further extensive studies are necessary.
Key Messages: This review focuses on summarizing the advancements in colorectal polyp size research and further explores the potential of AI-assisted measurements.
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http://dx.doi.org/10.1159/000547299 | DOI Listing |