Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons

被引:9
作者
Chang, Yu [1 ]
Wang, Zhi [1 ]
Sun, Hai-Bo [1 ]
Li, Yu-Qin [1 ]
Tang, Tong-Yu [1 ]
机构
[1] First Hosp Jilin Univ, Dept Gastroenterol, Changchun 130000, Jilin, Peoples R China
关键词
NEURAL-NETWORK; CROHNS-DISEASE; IMAGES; DIAGNOSIS;
D O I
10.1155/2023/3228832
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes: Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology, clinical presentation, and response to therapy among patients, gastroenterologists mainly rely on endoscopy to diagnose and treat IBD during clinical practice. However, as exemplified by the increasingly comprehensive ulcerative colitis endoscopic scoring system, the endoscopic diagnosis, evaluation, and treatment of IBD still rely on the subjective manipulation and judgment of endoscopists. In recent years, the use of artificial intelligence (AI) has grown substantially in various medical fields, and an increasing number of studies have investigated the use of this emerging technology in the field of gastroenterology. Clinical applications of AI have focused on IBD pathogenesis, etiology, diagnosis, and patient prognosis. Large-scale datasets offer tremendous utility in the development of novel tools to address the unmet clinical and practice needs for treating patients with IBD. However, significant differences among AI methodologies, datasets, and clinical findings limit the incorporation of AI technology into clinical practice. In this review, we discuss practical AI applications in the diagnosis of IBD via gastroenteroscopy and speculate regarding a future in which AI technology provides value for the diagnosis and treatment of IBD patients.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Navigating new horizons in inflammatory bowel disease: Integrative approaches and innovations
    Zhang, Shi-Yan
    WORLD JOURNAL OF GASTROENTEROLOGY, 2024, 30 (41) : 4411 - 4416
  • [32] The global research of artificial intelligence on inflammatory bowel disease: A bibliometric analysis
    Zeng, Suqi
    Dong, Chenyu
    Liu, Chuan
    Zhen, Junhai
    Pu, Yu
    Hu, Jiaming
    Dong, Weiguo
    DIGITAL HEALTH, 2025, 11
  • [33] Role of endoscopy in inflammatory bowel disease
    Bharadwaj, Shishira
    Narula, Neeraj
    Tandon, Parul
    Yaghoobi, Mohammad
    GASTROENTEROLOGY REPORT, 2018, 6 (02): : 75 - 82
  • [34] Capsule Endoscopy in Inflammatory Bowel Disease: Current Applications
    Singeap, Ana-Maria
    Stanciu, Carol
    Cojocariu, Camelia
    Sfarti, Catalin
    Trifan, Anca
    ARCHIVES OF IRANIAN MEDICINE, 2015, 18 (06) : 379 - 383
  • [35] Development and Validation of an Artificial Intelligence Model for Small Bowel Capsule Endoscopy Video Review
    Xie, Xia
    Xiao, Yu-Feng
    Zhao, Xiao-Yan
    Li, Jian-Jun
    Yang, Qiang-Qiang
    Peng, Xue
    Nie, Xu-Biao
    Zhou, Jian-Yun
    Zhao, Yong-Bing
    Yang, Huan
    Liu, Xi
    Liu, En
    Chen, Yu-Yang
    Zhou, Yuan-Yuan
    Fan, Chao-Qiang
    Bai, Jian-Ying
    Lin, Hui
    Koulaouzidis, Anastasios
    Yang, Shi-Ming
    JAMA NETWORK OPEN, 2022, 5 (07) : E2221992
  • [36] Clinical applications of artificial intelligence and machine learning-based methods in inflammatory bowel disease
    Cohen-Mekelburg, Shirley
    Berry, Sameer
    Stidham, Ryan W.
    Zhu, Ji
    Waljee, Akbar K.
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2021, 36 (02) : 279 - 285
  • [37] Artificial Intelligence for Disease Assessment in Inflammatory Bowel Disease: How Will it Change Our Practice?
    Stidham, Ryan W.
    Takenaka, Kento
    GASTROENTEROLOGY, 2022, 162 (05) : 1493 - 1506
  • [38] Reclassification of Inflammatory Bowel Disease Type Unclassified by Small Bowel Capsule Endoscopy
    Singeap, Ana-Maria
    Sfarti, Catalin
    Girleanu, Irina
    Huiban, Laura
    Muzica, Cristina
    Timofeiov, Sergiu
    Stanciu, Carol
    Trifan, Anca
    MEDICINA-LITHUANIA, 2023, 59 (12):
  • [39] Artificial intelligence and deep learning for small bowel capsule endoscopy
    Trasolini, Roberto
    Byrne, Michael F.
    DIGESTIVE ENDOSCOPY, 2021, 33 (02) : 290 - 297
  • [40] Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence
    Cannarozzi, Anna Lucia
    Latiano, Anna
    Massimino, Luca
    Bossa, Fabrizio
    Giuliani, Francesco
    Riva, Matteo
    Ungaro, Federica
    Guerra, Maria
    Di Brina, Anna Laura
    Biscaglia, Giuseppe
    Tavano, Francesca
    Carparelli, Sonia
    Fiorino, Gionata
    Danese, Silvio
    Perri, Francesco
    Palmieri, Orazio
    UNITED EUROPEAN GASTROENTEROLOGY JOURNAL, 2024, 12 (10) : 1461 - 1480