Diaconu Claudia, State Monica, Birligea Mihaela, Ifrim Madalina, Bajdechi Georgiana, Georgescu Teodora, Mateescu Bogdan, Voiosu Theodor
Gastroenterology Department, Colentina Clinical Hospital, 020125 Bucharest, Romania.
Internal Medicine Department, Carol Davila University of Medicine and Pharmacy, 50474 Bucharest, Romania.
Diagnostics (Basel). 2023 Feb 15;13(4):735. doi: 10.3390/diagnostics13040735.
Crohn's disease and ulcerative colitis remain debilitating disorders, characterized by progressive bowel damage and possible lethal complications. The growing number of applications for artificial intelligence in gastrointestinal endoscopy has already shown great potential, especially in the field of neoplastic and pre-neoplastic lesion detection and characterization, and is currently under evaluation in the field of inflammatory bowel disease management. The application of artificial intelligence in inflammatory bowel diseases can range from genomic dataset analysis and risk prediction model construction to the disease grading severity and assessment of the response to treatment using machine learning. We aimed to assess the current and future role of artificial intelligence in assessing the key outcomes in inflammatory bowel disease patients: endoscopic activity, mucosal healing, response to treatment, and neoplasia surveillance.
克罗恩病和溃疡性结肠炎仍然是使人衰弱的疾病,其特征是肠道进行性损伤和可能的致命并发症。人工智能在胃肠内镜检查中的应用越来越多,已经显示出巨大潜力,尤其是在肿瘤性和癌前病变的检测与特征描述领域,目前正在炎症性肠病管理领域接受评估。人工智能在炎症性肠病中的应用范围可以从基因组数据集分析和风险预测模型构建,到使用机器学习进行疾病严重程度分级和治疗反应评估。我们旨在评估人工智能在评估炎症性肠病患者的关键结局方面的当前和未来作用:内镜活动度、黏膜愈合、治疗反应和肿瘤监测。