Bristol Myers Squibb, Princeton, NJ, USA.
Translational Gastroenterology Unit, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK.
J Crohns Colitis. 2023 Aug 21;17(8):1342-1353. doi: 10.1093/ecco-jcc/jjad029.
Artificial intelligence shows promise for clinical research in inflammatory bowel disease endoscopy. Accurate assessment of endoscopic activity is important in clinical practice and inflammatory bowel disease clinical trials. Emerging artificial intelligence technologies can increase efficiency and accuracy of assessing the baseline endoscopic appearance in patients with inflammatory bowel disease and the impact that therapeutic interventions may have on mucosal healing in both of these contexts. In this review, state-of-the-art endoscopic assessment of mucosal disease activity in inflammatory bowel disease clinical trials is described, covering the potential for artificial intelligence to transform the current paradigm, its limitations, and suggested next steps. Site-based artificial intelligence quality evaluation and inclusion of patients in clinical trials without the need for a central reader is proposed; for following patient progress, a second reading using AI alongside a central reader with expedited reading is proposed. Artificial intelligence will support precision endoscopy in inflammatory bowel disease and is on the threshold of advancing inflammatory bowel disease clinical trial recruitment.
人工智能在炎症性肠病内镜临床研究中显示出前景。在临床实践和炎症性肠病临床试验中，准确评估内镜活动非常重要。新兴的人工智能技术可以提高评估炎症性肠病患者基线内镜表现的效率和准确性，以及治疗干预对这两种情况下黏膜愈合的影响。在这篇综述中，描述了炎症性肠病临床试验中黏膜疾病活动的最先进的内镜评估，涵盖了人工智能改变当前范式的潜力、其局限性和建议的下一步措施。提出了基于站点的人工智能质量评估和将患者纳入临床试验，而无需中心读者；为了跟踪患者的进展，建议使用人工智能与中央读者一起进行第二次阅读，并加快阅读速度。人工智能将支持炎症性肠病的精准内镜检查，并且即将推进炎症性肠病临床试验的招募。
