Abstract
Cristiano Spada, Paola Cesaro, Lorenzo Fuccio, Daniele Salvi, Clarissa Ferrari, Federico Barbaro, Alessandra Bizzotto, Francesco Butitta, Viviana Gerardi, Mauro Lovera, Sebastian Manuel Milluzzo, Leonardo Minelli Grazioli, Nicola Olivari, Silvia Pecere, Cecilia Lina Pugliano, Eugenia Vittoria Pesatori, Alessandro Quadarella, Enrico Tettoni, Chiara Zani, Luigi Ricciardiello, Guido Costamagna
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
pubmed
Confidence 98%
unpaywall
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2021
Changing epidemiology of colorectal cancer — Birth cohort effects and emerging risk factors
10.1038/s41575-023-00841-9 · 2024
Current and future colorectal cancer screening strategies
10.1038/s41575-022-00612-y · 2022
Long-term risk of colorectal cancer and related death after adenoma removal in a large, community-based population
2020
Adenoma surveillance and colorectal cancer incidence: a retrospective, multicentre, cohort study
10.1016/s1470-2045(17)30187-0 · 2017
A comprehensive RCT in screening, surveillance, and diagnostic AI-assisted colonoscopies (ACCENDO-Colo study)
10.1016/j.dld.2024.12.023 · 2025
Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis
10.1016/j.gie.2020.06.059 · 2021
Causes of post-colonoscopy colorectal cancers based on World Endoscopy Organization System of Analysis
10.1053/j.gastro.2019.12.031 · 2020
Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: european society of gastrointestinal endoscopy (ESGE) position statement
10.1055/a-2543-0370 · 2025
New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection
10.1136/gutjnl-2019-319914 · 2020
Bowel preparation for colonoscopy: european society of gastrointestinal endoscopy (esge) guideline-update 2019
10.1055/a-0959-0505 · 2019
The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research
10.1016/j.gie.2008.05.057 · 2009
Unresolved referenced work
Kept as external metadata until matched
The vienna classification of gastrointestinal epithelial neoplasia
10.1136/gut.47.2.251 · 2000
Artificial Intelligence–Assisted colonoscopy for polyp detection
10.7326/annals-24-00981 · 2024
Variability in computer-aided detection effect on adenoma detection rate in randomized controlled trials: a meta-regression analysis
10.1016/j.dld.2025.01.192 · 2025
Adenoma detection rate and risk for interval postcolonoscopy colorectal cancer in fecal immunochemical test-based screening A population-based cohort study
10.7326/m22-0301 · 2022
Benefits, burden, and harms of computer aided polyp detection with artificial intelligence in colorectal cancer screening: microsimulation modelling study
10.1136/bmjmed-2025-001446 · 2025
Surveillance findings in high-risk patients after baseline computer-assisted detection colonoscopy: a propensity score matching analysis
10.1016/j.gie.2025.01.036 · 2025
Serrated neoplasia-role in colorectal carcinogenesis and clinical implications
10.1038/nrgastro.2015.73 · 2015
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
10.1136/gutjnl-2021-324471 · 2022
Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial
10.1053/j.gastro.2020.04.062 · 2020
Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial
10.1016/s2468-1253(23)00104-8 · 2023
Impact of artificial intelligence for detection of precancerous colonic lesions in a fecal immunochemical blood test-based organized screening program in Italy: a randomized control trial
10.1002/ueg2.70176 · 2026
Use of artificial intelligence improves colonoscopy performance in adenoma detection: a systematic review and meta-analysis
10.1016/j.gie.2024.08.033 · 2025
Impact of withdrawal time on adenoma detection rate: results from a prospective multicenter trial
2023
Understanding the Hawthorne effect
10.1136/bmj.h4672 · 2015
Cost-effectiveness for artificial intelligence in colonoscopy
10.1016/j.giec.2024.10.008 · 2025
No additional external references are available.