Department of Gastroenterology, Sheba Medical Center, Ramat Gan and Tel Aviv University School of Medicine, Israel.
Department of Internal Medicine D, Sheba Medical Center, Ramat Gan and Tel Aviv University School of Medicine, Israel.
Am J Gastroenterol. 2022 Nov 1;117(11):1871-1873. doi: 10.14309/ajg.0000000000001970. Epub 2022 Aug 23.
The performance of artificial intelligence-aided colonoscopy (AIAC) in a real-world setting has not been described. We compared adenoma and polyp detection rates (ADR/PDR) in a 6-month period before (pre-AIAC) and after introduction of AIAC (GI Genius, Medtronic) in all endoscopy suites in our large-volume center. The ADR and PDR in the AIAC group was lower compared with those in the pre-AIAC group (30.3% vs 35.2%, P < 0.001; 36.5% vs 40.9%, P = 0.004, respectively); procedure time was significantly shorter in the AIAC group. In summary, introduction of AIAC did not result in performance improvement in our large-center cohort, raising important questions on AI-human interactions in medicine.
人工智能辅助结肠镜检查(AIAC)在真实环境中的表现尚未被描述。我们比较了在引入 AIAC(GI Genius,美敦力)之前(AIAC 前)和之后 6 个月内在我们大容量中心的所有内镜检查室中的腺瘤和息肉检出率(ADR/PDR)。与 AIAC 前组相比,AIAC 组的 ADR 和 PDR 较低(30.3%比 35.2%,P < 0.001;36.5%比 40.9%,P = 0.004);AIAC 组的操作时间明显缩短。总之,在我们的大型中心队列中引入 AIAC 并没有导致性能的提高,这对医学中人工智能与人类的交互提出了重要的问题。