Application Status and Prospects of Artificial Intelligence in Peptic Ulcers

Peptic ulcer (PU) is a common and frequently occurring disease. Although PU seriously threatens the lives and health of global residents, the applications of artificial intelligence (AI) have strongly promoted diversification and modernization in the diagnosis and treatment of PU. This minireview el...

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Published inFrontiers in surgery Vol. 9; p. 894775
Main Authors Zhao, Peng-yue, Han, Ke, Yao, Ren-qi, Ren, Chao, Du, Xiao-hui
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 16.06.2022
Subjects
artificial intelligence
complications
convolutional neural network
gastric ulcer
peptic ulcer
Surgery
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Summary:Peptic ulcer (PU) is a common and frequently occurring disease. Although PU seriously threatens the lives and health of global residents, the applications of artificial intelligence (AI) have strongly promoted diversification and modernization in the diagnosis and treatment of PU. This minireview elaborates on the research progress of AI in the field of PU, from PU’s pathogenic factor Helicobacter pylori (Hp) infection, diagnosis and differential diagnosis, to its management and complications (bleeding, obstruction, perforation and canceration). Finally, the challenges and prospects of AI application in PU are prospected and expounded. With the in-depth understanding of modern medical technology, AI remains a promising option in the management of PU patients and plays a more indispensable role. How to realize the robustness, versatility and diversity of multifunctional AI systems in PU and conduct multicenter prospective clinical research as soon as possible are the top priorities in the future.
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Edited by: Francesco Giovinazzo, Agostino Gemelli University Polyclinic (IRCCS), Italy
These authors have contributed equally to this work
Reviewed by: Xinxiang Li, Fudan University, China Ye Gao, Changhai Hospital, Second Military Medical University, China
Specialty section: This article was submitted to Surgical Oncology, a section of the journal Frontiers in Surgery
Abbreviations: PU, peptic ulcer; GU, gastric ulcer; DU, duodenal ulcer; AI, artificial intelligence; ML, machine learning; DL, deep learning; CNNs, convolutional neural networks; DBNs, deep belief networks; HP, Helicobacter pylori; RFSNN, refined feature selection with neural network; RMIS, robot-assisted minimally invasive surgery; GI, gastrointestinal; AUC, area under the curve; GBS, glasgow–blatchford score; eiPDLA, end-to-end importance perception personalized DL method; LSTM, long short-term memory; NSAIDs, non-steroidal anti-inflammatory drugs; IPU-ML, idiopathic peptic ulcer ML mode; ANN, artificial neural network; CI, confidence interval; EGC, early gastric cancer; EGD, esophagogastroduodenoscopy.
ISSN:2296-875X
2296-875X
DOI:10.3389/fsurg.2022.894775