C. Kuemmerli, F. Rössler, Caroline Berchtold, Michael C. Frey, A. Studier-Fischer, Amila Cizmic, J. P. Jonas, T. Hackert, F. Nickel, P. Müller
{"title":"Artificial intelligence in pancreatic surgery: current applications","authors":"C. Kuemmerli, F. Rössler, Caroline Berchtold, Michael C. Frey, A. Studier-Fischer, Amila Cizmic, J. P. Jonas, T. Hackert, F. Nickel, P. Müller","doi":"10.1097/JP9.0000000000000129","DOIUrl":null,"url":null,"abstract":"Surgery plays a central role in the treatment of benign and malignant pancreatic diseases. Artificial intelligence (AI) is an important upcoming technology to support surgeons in pre-, intra-, and postoperative diagnosis, decision-making and training toward an optimized patient care. Current AI applications show a promising role in the evaluation of preoperative images for prediction of malignancy and resectability, intraoperative decision support, surgical training as well as a postoperative risk stratification to personalize the management of complications. This scoping review summarizes the most up to date developments of AI in pancreatic surgery with the highest available level of evidence.","PeriodicalId":92925,"journal":{"name":"Journal of pancreatology","volume":"6 1","pages":"74 - 81"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pancreatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/JP9.0000000000000129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Surgery plays a central role in the treatment of benign and malignant pancreatic diseases. Artificial intelligence (AI) is an important upcoming technology to support surgeons in pre-, intra-, and postoperative diagnosis, decision-making and training toward an optimized patient care. Current AI applications show a promising role in the evaluation of preoperative images for prediction of malignancy and resectability, intraoperative decision support, surgical training as well as a postoperative risk stratification to personalize the management of complications. This scoping review summarizes the most up to date developments of AI in pancreatic surgery with the highest available level of evidence.