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
In a groundbreaking study recently featured in the journal EClinical Medicine, Chinese researchers have delved into the transformative impact of artificial intelligence (AI) on colorectal cancer detection during colonoscopies. This systematic review and meta-analysis aimed to shed light on the efficacy of AI-based methods in elevating adenoma detection rates while addressing concerns about overdiagnosis and potential challenges in endoscopic training.
Colorectal cancer stands as a major global health concern, contributing significantly to cancer-related mortality. Early detection through colonoscopies plays a pivotal role in reducing colorectal cancer incidence. However, variations in adenoma detection and miss rates highlight the impact of cognitive and technical limitations in endoscopy services.
Recent advancements in AI-based methods offer a promising avenue to standardize polyp detection, mitigating human error. Despite previous concerns about inconsistent results and potential overdiagnosis, this study aimed to clarify the advantages and disadvantages of AI-based systems for detecting colorectal neoplasia.
About the Study:
The researchers meticulously conducted a systematic review, focusing on randomized controlled trials that compared AI-based colonoscopy methods with conventional approaches. The study included participants undergoing colonoscopies for primary screening, symptoms, or surveillance. Excluding patients with specific conditions, the primary outcomes of interest were adenoma detection rate, adenoma miss rate, and adenomas detected during each colonoscopy.
Secondary outcomes included polyp detection rate, polyp miss rate, procedure time, false alarms, adverse events, and the number of polyps detected. The meta-analysis utilized data from tandem trials, ensuring a comprehensive assessment of the impact of AI-enabled colonoscopy.
The results showcased a significant improvement in colorectal neoplasia detection and a substantial reduction in adenoma and polyp miss rates through AI-based colonoscopy methods. Notably, the polyp miss rate decreased by 52.5%, and the polyp detection rate increased by 23.8%. Similarly, the adenoma detection rate increased by 24.2%, accompanied by a remarkable 50.5% decrease in the adenoma miss rate.
The findings underscored the potential of AI-enabled colonoscopy to enhance the detection of adenomas and colorectal neoplasia. The study suggests that these improvements could significantly impact large-scale colorectal cancer screening programs, emphasizing the importance of maintaining the quality and homogeneity of colonoscopies.
The researchers discussed the need for longitudinal studies to confirm the long-term efficacy of AI-based colonoscopic adenoma detection methods in reducing morbidity and mortality associated with colorectal cancer.
AI in healthcare continues to evolve, and this research offers a compelling glimpse into the future of colorectal cancer screening, with AI as a key player in improving patient outcomes. Stay informed; stay ahead.
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Journal reference:
Lou, S., Du, F., Song, W., Xia, Y., Yue, X., Yang, D., Cui, B., Liu, Y., & Han, P. (2023). Artificial intelligence for colorectal neoplasia detection during colonoscopy: a systematic review and meta-analysis of randomized clinical trials. EClinicalMedicine, 66. https://doi.org/10.1016/j.eclinm.2023.102341, https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(23)00518-7/fulltext