Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta‐analysis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Digestive Diseases"
DOI: 10.1111/1751-2980.12992
Abstract: To investigate systematically previous studies on the accuracy of artificial intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on endoscopic images so as to provide scientific evidence for the effectiveness of these models. read more here.
Keywords: endoscopic images; neoplasms endoscopic; artificial intelligence; accuracy artificial ... See more keywords
Test accuracy of artificial intelligence-based grading of fundus images in diabetic retinopathy screening: A systematic review.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of medical screening"
DOI: 10.1177/09691413221144382
Abstract: OBJECTIVES To systematically review the accuracy of artificial intelligence (AI)-based systems for grading of fundus images in diabetic retinopathy (DR) screening. METHODS We searched MEDLINE, EMBASE, the Cochrane Library and the ClinicalTrials.gov from 1st January… read more here.
Keywords: accuracy; intelligence based; fundus images; artificial intelligence ... See more keywords
Diagnostic Test Accuracy of Artificial Intelligence in Detecting Periapical Periodontitis on Two-Dimensional Radiographs: A Retrospective Study and Literature Review
Sign Up to like & getrecommendations! Published in 2023 at "Medicina"
DOI: 10.3390/medicina59040768
Abstract: This study aims to evaluate the diagnostic accuracy of artificial intelligence in detecting apical pathosis on periapical radiographs. A total of twenty anonymized periapical radiographs were retrieved from the database of Poznan University of Medical… read more here.
Keywords: radiology; accuracy; artificial intelligence; radiographs ... See more keywords