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Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis

World Journal of Gastroenterology 2023年第12期29卷 1811-1823页

作者： Alexandra Corina Faur Daniela Cornelia Lazar laura andreea ghenciu Department of Anatomy and Embriology “Victor Babeș”University of Medicine and Pharmacy TimișoaraTimișoara 300041TimișRomania Department V of Internal Medicine I Discipline of Internal Medicine IVUniversity of Medicine and Pharmacy“Victor Babes”TimișoaraTimișoara 300041TimișRomania DepartmentⅢ Discipline of Pathophysiology“Victor Babeș”University of Medicine and PharmacyTimișoara 300041TimișRomania

Pancreatic cancer(PC)has a low incidence rate but a high mortality,with patients often in the advanced stage of the disease at the time of the first *** detected,early neoplastic lesions are ideal for surgery,offering the best *** lesions of the pancreas include pancreatic intraepithelial neoplasia and mucinous cystic neoplasms,with intraductal papillary mucinous neoplasms being the most commonly *** study focused on predicting PC by identifying early signs using noninvasive techniques and artificial intelligence(AI).A systematic English literature search was conducted on the PubMed electronic database and other *** obtained a total of 97 studies on the subject of pancreatic *** final number of articles included in our study was 44,34 of which focused on the use of AI algorithms in the early diagnosis and prediction of pancreatic *** algorithms can facilitate diagnosis by analyzing massive amounts of data in a short period of *** can be made through AI algorithms by expanding image and electronic medical records databases,which can later be used as part of a screening program for the general ***-based screening models should involve a combination of biomarkers and medical and imaging data from different *** requires large numbers of resources,collaboration between medical practitioners,and investment in medical infrastructures.

关键词： Pancreatic cancer Early pancreatic lesions Pancreatic neoplasia Artificial intelligence Deep learning Machine learning Radiomics Diagnosis Pancreas

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