Cargando…

Current status and limitations of artificial intelligence in colonoscopy

BACKGROUND: Artificial intelligence (AI) using deep learning methods for polyp detection (CADe) and characterization (CADx) is on the verge of clinical application. CADe already implied its potential use in randomized controlled trials. Further efforts are needed to take CADx to the next level of de...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hann, Alexander, Troya, Joel, Fitting, Daniel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Endoscopy
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259277/ https://www.ncbi.nlm.nih.gov/pubmed/34617420 http://dx.doi.org/10.1002/ueg2.12108

Ejemplares similares

Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions
por: Brand, Markus, et al.
Publicado: (2022)

Fine‐tuning the artificial intelligence experience in endoscopy
por: Siau, Keith, et al.
Publicado: (2022)

Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
por: Kader, Rawen, et al.
Publicado: (2022)

My approach to water-assisted colonoscopy
por: Siau, Keith, et al.
Publicado: (2019)

JAG consensus statements for training and certification in colonoscopy
por: Siau, Keith, et al.
Publicado: (2023)

Regional variations and associations between colonoscopy resource availability and colonoscopy utilisation: a population-based descriptive study in Ontario, Canada
por: Webber, Colleen, et al.
Publicado: (2022)

Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies
por: Pecere, Silvia, et al.
Publicado: (2022)

Post‐polypectomy surveillance colonoscopy: Comparison of the updated guidelines
por: Abu‐Freha, Naim, et al.
Publicado: (2021)

Practice recommendations for the use of sedation in routine hospital-based colonoscopy
por: Dossa, Fahima, et al.
Publicado: (2020)

Factors associated with lesion detection in colonoscopy among different indications
por: Mangas‐Sanjuan, Carolina, et al.
Publicado: (2022)

A score to estimate the likelihood of detecting advanced colorectal neoplasia at colonoscopy
por: Kaminski, Michal F, et al.
Publicado: (2014)

An analysis of the learning curve to achieve competency at colonoscopy using the JETS database
por: Ward, Stephen Thomas, et al.
Publicado: (2014)

Complete colonoscopy: impact of patients' demographics and anthropometry on caecal intubation time
por: Akere, Adegboyega, et al.
Publicado: (2016)

Impact of feedback and monitoring on colonoscopy withdrawal times and polyp detection rates
por: Nielsen, Amalie Bach, et al.
Publicado: (2017)

Conversion of colonoscopy to flexible sigmoidoscopy: an unintended consequence of quality measurement in endoscopy
por: Thompson, Chris, et al.
Publicado: (2016)

Improved detection of adenomas and sessile serrated polyps is maintained with continuous audit of colonoscopy
por: Fraser, Alan Gordon, et al.
Publicado: (2020)

A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks
por: Hussein, Mohamed, et al.
Publicado: (2022)

Randomized Trial of Gatorade/Polyethylene Glycol With or Without Bisacodyl and NuLYTELY for Colonoscopy Preparation
por: Gerard, David P, et al.
Publicado: (2012)

Leadership training to improve adenoma detection rate in screening colonoscopy: a randomised trial
por: Kaminski, Michal F, et al.
Publicado: (2016)

Impact of the National Endoscopy Database (NED) on colonoscopy withdrawal time: a tertiary centre experience
por: Shiha, Mohamed G, et al.
Publicado: (2021)

Lower gastrointestinal symptoms and symptoms-based triaging systems are poor predictors of clinical significant disease on colonoscopy
por: Ismail, Mohd Syafiq, et al.
Publicado: (2020)

Fecal occult blood and calprotectin testing to prioritize primary care patients for colonoscopy referral: The advantage study
por: Lanas, Ángel, et al.
Publicado: (2023)

Standard versus Endocuff versus cap‐assisted colonoscopy for adenoma detection: A randomised controlled clinical trial
por: Floer, Martin, et al.
Publicado: (2021)

Validation of a New Bowel Preparation Scale for Measuring Colon Cleansing for Colonoscopy: The Chicago Bowel Preparation Scale
por: Gerard, David P, et al.
Publicado: (2013)

Evaluation of bowel preparation regimens for colonoscopy including a novel low volume regimen (Plenvu): CLEANSE study
por: Ahmad, Ahmir, et al.
Publicado: (2023)

Randomised controlled trials of non-pharmacological interventions to improve patient-reported outcomes of colonoscopy: a scoping review
por: Sue-Chue-Lam, Colin, et al.
Publicado: (2023)

Real‐time use of artificial intelligence (CADEYE) in colorectal cancer surveillance of patients with Lynch syndrome—A randomized controlled pilot trial (CADLY)
por: Hüneburg, Robert, et al.
Publicado: (2022)

Randomised comparison of postpolypectomy surveillance intervals following a two-round baseline colonoscopy: the Japan Polyp Study Workgroup
por: Matsuda, Takahisa, et al.
Publicado: (2021)

Effect of an intensive patient educational programme on the quality of bowel preparation for colonoscopy: a single-blind randomised controlled trial
por: Janahiraman, Sivakami, et al.
Publicado: (2020)

Is it time we split bowel preparation for all colonoscopies? Outcomes from a national survey of bowel preparation practice in the UK
por: Archer, Thomas, et al.
Publicado: (2021)

Multicentre randomised controlled trial on virtual chromoendoscopy in the detection of neoplasia during colitis surveillance high-definition colonoscopy (the VIRTUOSO trial)
por: Kandiah, Kesavan, et al.
Publicado: (2021)

The Effect on Colon Visualization During Colonoscopy of the Addition of Simethicone to Polyethylene Glycol-Electrolyte Solution: A Randomized Single-Blind Study
por: Matro, Rebecca, et al.
Publicado: (2012)

Effectiveness of screening colonoscopy in reducing the risk of death from right and left colon cancer: a large community-based study
por: Doubeni, Chyke A, et al.
Publicado: (2018)

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
por: Byrne, Michael F, et al.
Publicado: (2019)

Post-colonoscopy colorectal cancer (PCCRC) rates vary considerably depending on the method used to calculate them: a retrospective observational population-based study of PCCRC in the English National Health Service
por: Morris, Eva J A, et al.
Publicado: (2015)

Real-time use of artificial intelligence in the evaluation of cancer in Barrett’s oesophagus
por: Ebigbo, Alanna, et al.
Publicado: (2020)

Cold versus hot polypectomy/endoscopic mucosal resection–A review of current evidence
por: Ortigão, Raquel, et al.
Publicado: (2021)

A portrait of Endoscopic retrograde cholangiopancreatography and endoscopic ultrasound training programs in Europe: Current practices and opportunities for improvement
por: de Campos, Sara Teles, et al.
Publicado: (2023)

The hidden cost of colonoscopy including cost of reprocessing and infection rate: the implications for disposable colonoscopes
por: Larsen, Sara, et al.
Publicado: (2020)

Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy
por: Kamitani, Yu, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_704gj0qm5hr8fplhv5kckctpl3