Blogs
Welcome to our blog section on Artificial Intelligence (AI)! Here, we will explore in-depth one of the fastest and most exciting technological fields of the modern era.
Blogs
26/12/2023
Colorectal cancer, a significant global health challenge, ranks among the top three cancers worldwide, contributing substantially to cancer-related mortality. Early diagnosis through colonoscopy is pivotal in mitigating colorectal cancer risk. Studies indicate that a mere 1% increase in adenoma detection rate corresponds to a noteworthy 3% decrease in cancer risk. The challenge remains: a 27% rate of missed adenomas in endoscopic procedures, often due to cognitive or technical errors. Recently, AI integration in healthcare enhances polyp detection during colonoscopies, minimizing human error potential. Despite these advancements, concerns regarding overdiagnosis persist, potentially leading to unnecessary patient stress and increased costs.
Harbin Medical University's groundbreaking study compared AI-based adenoma detection to conventional colonoscopy methods. This comprehensive meta-analysis aimed to deepen our understanding of AI-assisted detection of colorectal neoplasia. The findings were compelling, revealing that AI-enhanced colonoscopy methods significantly elevated the detection rates of colorectal neoplasia, concurrently reducing the rates of missed adenomas and polyps. Moreover, these AI-assisted studies reported substantial increases in both polyp and adenoma detection rates, including the average number of adenomas and polyps identified per colonoscopy procedure.
AI-based colonoscopy significantly reduced polyp miss rates by 52.5% and increased detection rates by 23.8%. Similarly, the adenoma detection rate experienced a notable improvement of 24.2%, with a significant 50.5% decrease in the adenoma miss rate using AI methods. On average, there was an additional detection of 0.202 adenomas per colonoscopy through AI-enhanced detection techniques. However, it is essential to note the substantial heterogeneity observed in the outcomes related to polyp and adenoma detection across these studies.
Minor AI enhancements in colonoscopy quality could benefit large-scale cancer screening, ensuring uniformity and improved quality. Despite these advances, further long-term studies are essential to validate AI-based colonoscopy's effectiveness in reducing colorectal cancer morbidity and mortality.
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