Artificial intelligence for detecting periapical radiolucencies: A systematic review and meta-analysis.

Journal: Journal of dentistry

PMID: 38851523

Abstract

OBJECTIVES: Dentists' diagnostic accuracy in detecting periapical radiolucency varies considerably. This systematic review and meta-analysis aimed to investigate the accuracy of artificial intelligence (AI) for detecting periapical radiolucency.

Authors

Utku Pul

University for Digital Technologies in Medicine and Dentistry, Wiltz, Luxembourg.
Falk Schwendicke

Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany. falk.schwendicke@charite.de.

Keywords

Artificial Intelligence Humans Neural Networks, Computer Periapical Diseases Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (38851523)

Artificial intelligence for detecting periapical radiolucencies: A systematic review and meta-analysis.

Abstract

Authors

Keywords

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