Journal of Digestive Cancer Research

  • 제12권1호
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  • Pages.31-37
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  • 2024
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  • 2950-9394(pISSN)
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  • 2950-9505(eISSN)
대한소화기암연구학회 (Korean Society of Gastrointestinal Cancer Research)
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악성 췌장 병변 진단에서 인공지능기술을 이용한 초음파내시경의 응용

Application of Endoscopic Ultrasound-based Artificial Intelligence in Diagnosis of Pancreatic Malignancies

  • 안재희 (한림대학교 의과대학 강남성심병원 소화기내과 ) ;
  • 정회훈 (한림대학교 의과대학 강남성심병원 소화기내과 ) ;
  • 박재근 (한림대학교 의과대학 강남성심병원 소화기내과 )
  • Jae Hee Ahn (Department of Gastroenterology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine) ;
  • Hwehoon Chung (Department of Gastroenterology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine) ;
  • Jae Keun Park (Department of Gastroenterology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine)
  • 투고 : 2024.04.09
  • 심사 : 2024.04.19
  • 발행 : 2024.04.20
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초록

Pancreatic cancer is a highly fatal malignancy with a 5-year survival rate of < 10%. Endoscopic ultrasound (EUS) is a useful noninvasive tool for differential diagnosis of pancreatic malignancy and treatment decision-making. However, the performance of EUS is suboptimal, and its accuracy for differentiating pancreatic malignancy has increased interest in the application of artificial intelligence (AI). Recent studies have reported that EUS-based AI models can facilitate early and more accurate diagnosis than other preexisting methods. This article provides a review of the literature on EUS-based AI studies of pancreatic malignancies.

키워드

참고문헌

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