Diagnostic value of artificial intelligence computer-assisted diagnosis (computer assisted-diagnosis eye function) for colorectal polyps

BACKGROUND The gold standard for colorectal polyp screening is currently colonoscopy, but the miss rate is still high and the adenoma detection rate and polyp detection rate are still low. The risk factors include the patient, operators, and the tools used. The use of artificial intelligence (AI) in colonoscopy has gained popularity by assisting endoscopists in the detection and characterization of polyps. AIM To evaluate the diagnostic performance of AI-assisted colonoscopy [computer assisted diagnosis (CAD) eye function] for colorectal polyp characterization. METHODS This study used a cross-sectional design conducted at the Gastrointestinal Endoscopy Center of Dr. Cipto Mangunkusumo Hospital in January-May 2024 on adult patients with suspected colorectal polyps. RESULTS A total of 60 patients with 100 polyps were involved in this study. Based on the results of the examination, it was found that the AI CAD eye function examination had a sensitivity of 79.17%, specificity of 75.00%, positive predictive value (PPV) of 89.06%, negative predictive value (NPV) of 58.33%, and accuracy of 78.00%. In polyps with diminutive size, sensitivity was 86.27%, specificity was 60.00%, PPV was 95.65%, NPV was 30.00%, and accuracy was 83.93%. Meanwhile, in polyps with non-diminutive size, sensitivity was 61.90%, specificity was 78.26%, PPV was 72.22%, NPV was 69.23%, and accuracy was 70.45%. In polyps on the left side of the colon, sensitivity was 78.85%, specificity was 81.25%, PPV was 93.18%, NPV was 54.17%, and accuracy was 79.41%. Meanwhile, in right-sided polyps the sensitivity was 80.00%, specificity was 66.67%, PPV was 80.00%, NPV was 66.67%, and accuracy was 75.00%. In sessile polyps the sensitivity was 81.54%, specificity was 50.00%, PPV was 91.38%, NPV was 29.41%, and accuracy was 77.33%. Meanwhile, in non-sessile polyps, the sensitivity was 57.14%, specificity was 88.89%, PPV was 66.67%, NPV was 84.21%, and accuracy was 80.00%. CONCLUSION AI CAD eye function examination had a high sensitivity value in diminutive, sessile polyps and right-sided polyps and a high specificity in non-diminutive, non-sessile polyps and left-sided polyps.