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[Application and prospect of artificial intelligence in pancreatic cancer].
Zheng, Z Y; Chen, T; Liu, Y B.
Afiliação
  • Zheng ZY; Department of Biliary-Pancreatic Surgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China.
  • Chen T; Department of Biliary-Pancreatic Surgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China.
  • Liu YB; Department of Biliary-Pancreatic Surgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China.
Zhonghua Wai Ke Za Zhi ; 61(1): 76-80, 2023 Jan 01.
Article em Zh | MEDLINE | ID: mdl-36603887
As a severe malignant tumor of the digestive system,the highly invasive pancreatic cancer lacks typical preliminary symptoms. Rapid metastatic dissemination and difficulty in early-stage diagnosis preclude the chance of radical curative resection,hence resulting in a poor overall prognosis in most patients. In recent years,the wide application of the artificial intelligence(AI),represented by machine learning and deep learning,has developed rapidly in the field of medicine. All sorts of models based on AI have been applied to the screening, early diagnosis, treatment, prognosis prediction of patients with pancreatic cancer.Three-dimentional visualization and augmented reality navigation technologies have also been developed and applied in pancreatic cancer surgery.This paper reviews the status quo of AI application in pancreatic cancer from various aspects,and anticipates its future application prospects.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: Zh Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: Zh Ano de publicação: 2023 Tipo de documento: Article