首页|Department of Medicine and Surgery Reports Findings in Artificial Intelligence ( Effectiveness of artificial intelligence assisted colonoscopy on adenoma and pol yp miss rate: A meta-analysis of tandem RCTs)
Department of Medicine and Surgery Reports Findings in Artificial Intelligence ( Effectiveness of artificial intelligence assisted colonoscopy on adenoma and pol yp miss rate: A meta-analysis of tandem RCTs)
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New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Enna, I taly, by NewsRx journalists, research stated, "One-fourth of colorectal neoplasi a is missed at screening colonoscopy, representing the leading cause of interval colorectal cancer (I-CRC). This systematic review and meta-analysis summarizes the efficacy of computer-aided colonoscopy (CAC) compared to white-light colonos copy (WLC) in reducing lesion miss rates." The news reporters obtained a quote from the research from the Department of Med icine and Surgery, "Major databases were systematically searched through May 202 4 for tandem-design RCTs comparing lesion miss rates in CAC-first followed by WL C vs WLC-first followed by CAC. The primary outcomes were adenoma miss rate (AMR ) and polyp miss rate (PMR). The secondary outcomes were advanced AMR (aAMR) and sessile serrated lesion miss rate (SMR). Six RCTs (1718 patients) were included . AMR was significantly lower for CAC compared to WLC (RR = 0.46; 95 % CI [0.38-0.55]; P<0. 001). PMR was also lower for CAC compared to WLC (RR = 0.44; 95 %CI [0.33-0.60]; P<0.00 1). No significant difference in aAMR (RR = 1.28; 95 %CI [0.34-4.83]; P = 0.71) and SMR (RR = 0.44; 95 %CI [0.15-1.28]; P = 0.13) were observed. Sen sitivity analysis including only RCTs performed in CRC screening and surveillanc e setting confirmed lower AMR (RR = 0.48; 95 %CI [0.39-0.58]; P<0.001) and PMR (RR = 0.50 ; 95 %CI [0.37-0.66]; P<0.001), also showing significantly lower SMR (RR = 0.28; 95 %CI [0.11-0.70]; P = 0.007) for CAC compared to WLC."
EnnaItalyEuropeAdenomasArtificia l IntelligenceEmerging TechnologiesHealth and MedicineMachine LearningOn cology
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