Cargando…
Impact of real-time use of artificial intelligence in improving adenoma detection during colonoscopy: A systematic review and meta-analysis
Background and study aims With the advent of deep neural networks (DNN) learning, the field of artificial intelligence (AI) is rapidly evolving. Recent randomized controlled trials (RCT) have investigated the influence of integrating AI in colonoscopy and its impact on adenoma detection rates (ADRs...
Autores principales: | Ashat, Munish, Klair, Jagpal Singh, Singh, Dhruv, Murali, Arvind Rangarajan, Krishnamoorthi, Rajesh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969136/ https://www.ncbi.nlm.nih.gov/pubmed/33816771 http://dx.doi.org/10.1055/a-1341-0457 |
Ejemplares similares
-
Bilateral vs unilateral placement of metal stents for inoperable high-grade hilar biliary strictures: A systemic review and meta-analysis
por: Ashat, Munish, et al.
Publicado: (2019) -
Use of abdominal compression device in colonoscopy: a systematic review and meta-analysis
por: Zafar, Yousaf, et al.
Publicado: (2023) -
Modified Endoscopic Ultrasound Needle to Obtain Histological Core Tissue Samples: A Retrospective Analysis
por: Ashat, Munish, et al.
Publicado: (2020) -
Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy
por: Liu, Wen-Na, et al.
Publicado: (2019) -
Contamination Rates in Duodenoscopes Reprocessed Using Enhanced Surveillance and Reprocessing Techniques: A Systematic Review and Meta-Analysis
por: Bomman, Shivanand, et al.
Publicado: (2022)