Impact of artificial intelligence on colorectal polyp detection for early-career endoscopists: an international comparative study.
Scand J Gastroenterol
; 57(10): 1272-1277, 2022 10.
Article
em En
| MEDLINE
| ID: mdl-35605150
ABSTRACT
BACKGROUND:
Artificial intelligence (AI) for polyp detection is being introduced to colonoscopy, but there is uncertainty how this affects endoscopists' ability to detect polyps and neoplasms. We performed a video-based study to address whether AI improved the endoscopists' performance to detect polyps.METHODS:
We established a dataset of 200 colonoscopy videos (length 5 s; 100 without polyps and 100 with one polyp). About 33 early-career endoscopists (50-400 colonoscopies performed) from 10 European countries classified each video as either 'polyp present' or 'polyp not present'. The video assessment was performed twice with a four-week interval. The first assessment was performed without any AI tool, whereas the second was performed with an AI tool for polyp detection. The primary endpoint was early-career endoscopists' sensitivity to detect polyps. Gold standard for presence and histology of polyps were confirmed by two expert endoscopists and pathologists, respectively. McNemar's test was used for statistical significance.RESULTS:
There were 86 neoplastic and 14 non-neoplastic polyps (mean size 5.6 mm) in the 100 videos with polyps. Early-career endoscopists' sensitivity to detect polyps increased from 86.3% (95% confidence interval [CI] 85.1-87.5%) to 91.7% (95%CI 90.7-92.6%) with the AI aid (p < .0001). Their sensitivity to detect neoplastic polyps increased from 85.4% (95% CI 84.0-86.7%) to 92.1% (95%CI 91.1-93.1%) with the AI aid (p < .0001).CONCLUSION:
The polyp detection AI tool helped early-career endoscopists to increase their sensitivity to identify all polyps and neoplastic polyps during colonoscopy.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Colorretais
/
Adenoma
/
Pólipos do Colo
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
País como assunto:
Europa
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article