From the mathematical model to the patient: The scientific and human aspects of artificial intelligence in gastrointestinal surgery

作     者：Javier Arredondo Montero 

作者机构：Department of Pediatric SurgeryComplejo Asistencial Universitario de LeónCastilla y LeónLeón 24008Spain 

出 版 物：《World Journal of Gastrointestinal Surgery》 (世界胃肠外科杂志（英文版）（电子版）)

年 卷 期：2024年第16卷第6期

页      面：1517-1520页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 081104[工学-模式识别与智能系统] 08[工学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

主　　题：Survivor bias Data analysis Machine learning Ethics Critical thinking Postsurgical Complications Inflammatory bowel disease Gastrointestinal surgery 

摘      要：Recent medical literature shows that the application of artificial intelligence(AI)models in gastrointestinal pathology is an exponentially growing field,with pro-mising models that show very high *** inflammatory bowel disease(IBD),recent reviews demonstrate promising diagnostic and prognostic AI ***,studies are generally at high risk of bias(especially in AI models that are image-based).The creation of specific AI models that improve diagnostic performance and allow the establishment of a general prognostic fo-recast in IBD is of great interest,as it may allow the stratification of patients into subgroups and,in turn,allow the creation of different diagnostic and therapeutic protocols for these *** surgical models,predictive models of post-operative complications have shown great potential in large-scale *** this work,the authors present the development of a predictive algorithm for early post-surgical complications in Crohn s disease based on a Random Forest model with exceptional predictive ability for complications within the *** pre-sent work,based on logical and reasoned,clinical,and applicable aspects,lays a solid foundation for future prospective work to further develop post-surgical prognostic tools for *** next step is to develop in a prospective and mul-ticenter way,a collaborative path to optimize this line of research and make it applicable to our patients.