Journal
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
Volume 20, Issue 10, Pages 2198-+Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.cgh.2022.03.051
Keywords
Adenoma Detection Rate (ADR); Artificial Intelligence (AI); Colonoscopy; Colorectal Cancer (CRC); Polyp Detection; Screening
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This paper summarizes the gaps and challenges in colonoscopy from both patient and physician perspectives, as well as the diagnostic and therapeutic challenges that affect colonoscopy uptake. It proposes the potential use of emerging technologies and quality metrics to improve patient outcomes.
In 2018, the American Gastroenterological Association's Center for GI Innovation and Technology convened a consensus conference, entitled Colorectal Cancer Screening and Surveillance: Role of Emerging Technology and Innovation to Improve Outcomes. The conference participants, which included more than 60 experts in colorectal cancer, considered recent improvements in colorectal cancer screening rates and polyp detection, persistent barriers to colonoscopy uptake, and opportunities for performance improvement and innovation. This white paper originates from that conference. It aims to summarize current patient- and physician-centered gaps and challenges in colonoscopy, diagnostic and therapeutic challenges affecting colonoscopy uptake, and the potential use of emerging technologies and quality metrics to improve patient outcomes.
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