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

作　　者：Javier Arredondo Montero 

机构地区：[1]Department of Pediatric Surgery,Complejo Asistencial Universitario de León,Castilla y León,León 24008,Spain

出　　处：《World Journal of Gastrointestinal Surgery》2024年第6期1517-1520,共4页世界胃肠外科杂志（英文版）（电子版）

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 performances.Regarding inflammatory bowel disease(IBD),recent reviews demonstrate promising diagnostic and prognostic AI models.However,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 patients.Regarding surgical models,predictive models of post-operative complications have shown great potential in large-scale studies.In 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 cohort.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 IBD.The 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.

关 键 词：Survivor bias Data analysis Machine learning ETHICS Critical thinking POSTSURGICAL COMPLICATIONS Inflammatory bowel disease Gastrointestinal surgery 

分 类 号：R57[医药卫生—消化系统] TP18[医药卫生—内科学]