Integrating artificial intelligence into endoscopy training: opportunities, challenges, and strategies

被引：4
|
作者：
Grover, Samir C. [1 ,2 ]
Walsh, Catharine M. [3 ,4 ,5 ]
机构：
[1] Univ Toronto, St Michaels Hosp, Temerty Fac Med, Div Gastroenterol & Hepatol, Toronto, ON M5G 1X8, Canada
[2] Univ Toronto, St Michaels Hosp, Li Ka Shing Knowledge Inst, Temerty Fac Med, Toronto, ON M5G 1X8, Canada
[3] Univ Toronto, Sickkids Res Inst, Temerty Fac Med, Div Gastroenterol Hepatol & Nutr,Hosp Sick Childre, Toronto, ON M5G 1X8, Canada
[4] Univ Toronto, Sickkids Learning Inst, Temerty Fac Med, Hosp Sick Children,Dept Paediat, Toronto, ON M5G 1X8, Canada
[5] Univ Toronto, Temerty Fac Med, Wilson Ctr, Toronto, ON M5G 1X8, Canada
来源：
LANCET GASTROENTEROLOGY & HEPATOLOGY | 2024年 / 9卷 / 01期
关键词：
D O I：
10.1016/S2468-1253(23)00309-6
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
引用
收藏
页码：11 / 13
页数：3
相关论文
共 50 条
  • [21] The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
    Aung, Yuri Y. M.
    Wong, David C. S.
    Ting, Daniel S. W.
    BRITISH MEDICAL BULLETIN, 2021, 139 (01) : 4 - 15
  • [22] The challenges of integrating explainable artificial intelligence into GeoAI
    Xing, Jin
    Sieber, Renee
    TRANSACTIONS IN GIS, 2023, 27 (03) : 626 - 645
  • [23] Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
    Kusters, Remy
    Misevic, Dusan
    Berry, Hugues
    Cully, Antoine
    Le Cunff, Yann
    Dandoy, Loic
    Diaz-Rodriguez, Natalia
    Ficher, Marion
    Grizou, Jonathan
    Othmani, Alice
    Palpanas, Themis
    Komorowski, Matthieu
    Loiseau, Patrick
    Frier, Clement Moulin
    Nanini, Santino
    Quercia, Daniele
    Sebag, Michele
    Fogelman, Francoise Soulie
    Taleb, Sofiane
    Tupikina, Liubov
    Sahu, Vaibhav
    Vie, Jill-Jenn
    Wehbi, Fatima
    FRONTIERS IN BIG DATA, 2020, 3
  • [24] Artificial Intelligence in Hematology: Current Challenges and Opportunities
    Radakovich, Nathan
    Nagy, Matthew
    Nazha, Aziz
    CURRENT HEMATOLOGIC MALIGNANCY REPORTS, 2020, 15 (03) : 203 - 210
  • [25] Artificial Intelligence in Nursing: New Opportunities and Challenges
    Ramirez-Baraldes, Estella
    Garcia-Gutierrez, Daniel
    Garcia-Salido, Cristina
    EUROPEAN JOURNAL OF EDUCATION, 2025, 60 (01)
  • [26] Challenges and opportunities for artificial intelligence in oncological imaging
    Cheung, H. M. C.
    Rubin, D.
    CLINICAL RADIOLOGY, 2021, 76 (10) : 728 - 736
  • [27] Artificial Intelligence in Hematology: Current Challenges and Opportunities
    Nathan Radakovich
    Matthew Nagy
    Aziz Nazha
    Current Hematologic Malignancy Reports, 2020, 15 : 203 - 210
  • [28] Artificial Intelligence: Opportunities and Challenges for Public Administration
    David, Genevieve
    CANADIAN PUBLIC ADMINISTRATION-ADMINISTRATION PUBLIQUE DU CANADA, 2024, 67 (03): : 388 - 406
  • [29] On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities
    Reyes, Mauricio
    Meier, Raphael
    Pereira, Sergio
    Silva, Carlos A.
    Dahlweid, Fried-Michael
    Von Tengg-Kobligk, Hendrik
    Summers, Ronald M.
    Wiest, Roland
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2020, 2 (03)
  • [30] The Ethics of Artificial Intelligence, Principles, Challenges and Opportunities
    Williams, Nerys
    OCCUPATIONAL MEDICINE-OXFORD, 2024, 74 (09): : 689 - 689
12345