Systematic review with meta-analysis: artificial intelligence in the diagnosis of oesophageal diseases.

ABSTRACT:

Background

Artificial intelligence (AI) has recently been applied to endoscopy and questionnaires for the evaluation of oesophageal diseases (ODs).

Aim

We performed a systematic review with meta-analysis to evaluate the performance of AI in the diagnosis of malignant and benign OD.

Methods

We searched MEDLINE, EMBASE, EMBASE Classic and the Cochrane Library. A bivariate random-effect model was used to calculate pooled diagnostic efficacy of AI models and endoscopists. The reference tests were histology for neoplasms and the clinical and instrumental diagnosis for gastro-oesophageal reflux disease (GERD). The pooled area under the summary receiver operating characteristic (AUROC), sensitivity, specificity, positive and negative likelihood ratio (PLR and NLR) and diagno

SUBMITTER: Visaggi P 

PROVIDER: S-EPMC9305819 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature