Artificial Intelligence-Assisted Colonoscopy Improves ADR of Gastroenterology Fellows: Results of a Prospective Cohort Study

被引：0
|
作者：
Nguyen, Denis [1 ]
Chang, Patrick [1 ]
Wang, Sarah [1 ]
Sharma, Nisha [1 ]
Bui, Aileen [1 ]
Kong, Niwen [1 ]
Lee, Helen [1 ]
Sahakian, Ara [1 ]
Buxbaum, James [1 ]
机构：
[1] USC, Keck Sch Med, Los Angeles, CA USA
来源：
AMERICAN JOURNAL OF GASTROENTEROLOGY | 2023年 / 118卷 / 10期
关键词：
D O I：
暂无
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
S368
引用
收藏
页码：S266 / S266
页数：1
相关论文
共 50 条
  • [41] Artificial intelligence-assisted reduction in patients' waiting time for outpatient process: a retrospective cohort study
    Li, Xiaoqing
    Tian, Dan
    Li, Weihua
    Dong, Bin
    Wang, Hansong
    Yuan, Jiajun
    Li, Biru
    Shi, Lei
    Lin, Xulin
    Zhao, Liebin
    Liu, Shijian
    BMC HEALTH SERVICES RESEARCH, 2021, 21 (01)
  • [42] Harnessing the potential of artificial intelligence-assisted colonoscopy to reduce the risk of post-colonoscopy interval colorectal cancer
    Ang, Tiing Leong
    Jao-Yiu Sung, Joseph
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2023, 38 (02) : 157 - 158
  • [43] Artificial intelligence-assisted cancer diagnosis improves the efficiency of pathologists in prostatic biopsies
    Eloy, Catarina
    Marques, Ana
    Pinto, Joao
    Pinheiro, Jorge
    Campelos, Sofia
    Curado, Monica
    Vale, Joao
    Polonia, Antonio
    VIRCHOWS ARCHIV, 2023, 482 (03) : 595 - 604
  • [44] Artificial intelligence-assisted reduction in patients’ waiting time for outpatient process: a retrospective cohort study
    Xiaoqing Li
    Dan Tian
    Weihua Li
    Bin Dong
    Hansong Wang
    Jiajun Yuan
    Biru Li
    Lei Shi
    Xulin Lin
    Liebin Zhao
    Shijian Liu
    BMC Health Services Research, 21
  • [45] Comparing Adenoma Detection Rate (ADR) in Single vs Dual Observer vs Artificial Intelligence-Assisted Colonoscopy: A Network Analysis of Randomized Controlled Trials
    Gangwani, Manesh Kumar
    Haghbin, Hossein
    Ishtiaq, Rizwan
    Dahiya, Dushyant Singh.
    Hayat, Umar
    Lee-Smith, Wade M.
    Rani, Anooja
    Nawras, Yusuf
    Aziz, Muhammad
    Javaid, Toseef
    Hart, Benjamin
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2023, 118 (10): : S292 - S293
  • [46] Cost-utility analysis of real-time artificial intelligence-assisted colonoscopy in Italy
    Hassan, Cesare
    Povero, Massimiliano
    Pradelli, Lorenzo
    Spadaccini, Marco
    Repici, Alessandro
    ENDOSCOPY INTERNATIONAL OPEN, 2023, 11 (11) : E1046 - E1055
  • [47] Computer simulator training enhances the competency of gastroenterology fellows at colonoscopy: Results of a pilot study
    Sedlack, RE
    Kolars, JC
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2004, 99 (01): : 33 - 37
  • [48] Evaluation of the competence of an artificial intelligence-assisted colonoscopy system in clinical practice: A post hoc analysis
    Zuo, Wei
    Dai, Yongyu
    Huang, Xiumei
    Peng, Ren-qun
    Li, Xinghui
    Liu, Hao
    FRONTIERS IN MEDICINE, 2023, 10
  • [49] Artificial intelligence-assisted colonoscopy detection rate on colorectal neoplasia patient: a systematic review of RCTs
    Sabran, M. Z.
    Sutanto, R.
    Rusbiyanto, M. C.
    Sukendro, G. M.
    Huang, I.
    Kurniawan, A.
    ANNALS OF ONCOLOGY, 2024, 35 : S1331 - S1332
  • [50] Impact of the clinical use of artificial intelligence-assisted neoplasia detection for colonoscopy: a large-scale prospective propensity score-matched study (with video)
    Ishiyama, Misaki
    Kudo, Shin-ei
    Misawa, Masashi
    Mori, Yuichi
    Maeda, Yasuhara
    Ichimasa, Katsuro
    Kudo, Toyoki
    Hayashi, Takemasa
    Wakamura, Kunihiko
    Miyachi, Hideyuki
    Ishida, Fumio
    Itoh, Hayato
    Oda, Masahiro
    Mori, Kensaku
    GASTROINTESTINAL ENDOSCOPY, 2022, 95 (01) : 155 - 163
12345