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Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature.
Yen, Hsu-Heng; Wu, Ping-Yu; Chen, Mei-Fen; Lin, Wen-Chen; Tsai, Cheng-Lun; Lin, Kang-Ping.
  • Yen HH; Division of Gastroenterology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.
  • Wu PY; General Education Center, Chienkuo Technology University, Changhua 500, Taiwan.
  • Chen MF; Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan.
  • Lin WC; Artificial Intelligence Development Center, Changhua Christian Hospital, Changhua 500, Taiwan.
  • Tsai CL; Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan.
  • Lin KP; Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan.
J Clin Med ; 10(16)2021 Aug 11.
Article in English | MEDLINE | ID: covidwho-1376852
ABSTRACT
With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires collaborative care involving the emergency department, gastroenterologist, radiologist, and surgeon, from initial assessment to hospital discharge. The application of artificial intelligence (AI) methods has remarkably improved people's lives. In particular, AI systems have shown great potential in many areas of gastroenterology to increase human performance. Colonoscopy polyp detection or diagnosis by an AI system was recently introduced for commercial use to improve endoscopist performance. Although PUB is a longstanding health problem, these newly introduced AI technologies may soon impact endoscopists' clinical practice by improving the quality of care for these patients. To update the current status of AI application in PUB, we reviewed recent relevant literature and provided future perspectives that are required to integrate such AI tools into real-world practice.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Jcm10163527

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Jcm10163527