IMPACT OF STUDY DESIGN ON ADENOMA DETECTION IN THE EVALUATION OF ARTIFICIAL INTELLIGENCE-AIDED COLONOSCOPY: A SYSTEMATIC REVIEW AND META-ANALYSIS

被引：0
|
作者：
Lee, Chae Min
Parker, Colleen
Liu, Louis
Farahvash, Armin
Jeyalingam, Thurarshen
机构：
[1] Univ Hlth Network, Toronto, ON, Canada
[2] NOSM Univ, Thunder Bay, ON, Canada
[3] Univ Toronto, Temerty Fac Med, Toronto, ON, Canada
来源：
GASTROINTESTINAL ENDOSCOPY | 2024年 / 99卷 / 06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：
Mo1970
引用
收藏
页码：AB35 / AB36
页数：2
相关论文
共 50 条
  • [21] ARTIFICIAL INTELLIGENCE AND COMPUTER AIDED DETECTION (CADE) SYSTEMS IMPROVE ADENOMA MISS RATES, ADENOMA DETECTION RATES AND POLYP DETECTION RATES: A SYSTEMATIC REVIEW AND META-ANALYSIS
    Shah, Sagar
    Park, Nathan
    Chehade, Nabil El Hage
    Monachese, Marc
    Ji, Samuel S.
    Nguyen, Peter H.
    Samarasena, Jason B.
    GASTROINTESTINAL ENDOSCOPY, 2022, 95 (06) : AB231 - AB232
  • [22] Effect of computer-aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta-analysis
    Shah, Sagar
    Park, Nathan
    Chehade, Nabil El Hage
    Chahine, Anastasia
    Monachese, Marc
    Tiritilli, Amelie
    Moosvi, Zain
    Ortizo, Ronald
    Samarasena, Jason
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2023, 38 (02) : 162 - 176
  • [23] Artificial intelligence-aided ultrasound in renal diseases: a systematic review
    Liang, Xiaowen
    Du, Meng
    Chen, Zhiyi
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (06) : 3988 - 4001
  • [24] Artificial Intelligence-Aided Colonoscopy: A Retrospective Analysis of Effect on Procedure Time
    Roccato, Mary Kathryn
    Dao, Tyler
    Berry, Rani
    Karnes, William
    Rael, Efren
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2019, 114 : S189 - S190
  • [25] Improvement in Adenoma Detection Using a Novel Artificial Intelligence-Aided Polyp Detection Device
    Shaukat, Aasma
    Colucci, Daniel
    Erisson, Lavi
    Phillips, Sloane
    Ng, Jonathan
    Iglesias, Juan Eugenio
    Saltzman, John R.
    Somers, Samuel
    Brugge, William
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2020, 115 : S136 - S137
  • [26] PERFORMANCE OF ARTIFICIAL INTELLIGENCE ASSISTED COLONOSCOPY VS CONVENTIONAL COLONOSCOPY: A SYSTEMATIC REVIEW AND META-ANALYSIS
    Soleymanjahi, Saeed
    Elmansy, Lina
    Rajashekar, Niroop
    Mahmoudi-Rouhani, Reza
    Shung, Dennis
    GASTROENTEROLOGY, 2023, 164 (06) : S1176 - S1177
  • [27] Artificial intelligence in osteoarthritis detection: A systematic review and meta-analysis
    Mohammadi, Soheil
    Salehi, Mohammad Amin
    Jahanshahi, Ali
    Farahani, Mohammad Shahrabi
    Zakavi, Seyed Sina
    Behrouzieh, Sadra
    Gouravani, Mahdi
    Guermazi, Ali
    OSTEOARTHRITIS AND CARTILAGE, 2024, 32 (03) : 241 - 253
  • [28] Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis
    Kuo, Rachel Y. L.
    Harrison, Conrad
    Curran, Terry-Ann
    Jones, Benjamin
    Freethy, Alexander
    Cussons, David
    Stewart, Max
    Collins, Gary S.
    Furniss, Dominic
    RADIOLOGY, 2022, 304 (01) : 50 - 62
  • [29] Improvement in adenoma detection using a novel artificial intelligence-aided polyp detection device
    Shaukat, Aasma
    Colucci, Daniel
    Erisson, Lavi
    Phillips, Sloane
    Ng, Jonathan
    Iglesias, Juan Eugenio
    Saltzman, John R.
    Somers, Samuel
    Brugge, William
    ENDOSCOPY INTERNATIONAL OPEN, 2021, 09 (02) : E263 - E270
  • [30] Real-world artificial intelligence-aided colonoscopy does not improve adenoma detection rates in patients with Inflammatory Bowel Disease
    Levartovsky, A.
    Levy, I.
    Bruckmayer, L.
    Klang, E.
    Ben-Horin, S.
    Kopylov, U.
    JOURNAL OF CROHNS & COLITIS, 2023, 17 : I415 - I416
12345