HIGHLIGHTS
- who: Julien Issa and colleagues from the Department of Diagnostics, University of Medical Sciences, Bukowska, Poznan, Poland have published the research work: Diagnostic Test Accuracy of Artificial Intelligence in Detecting Periapical Periodontitis on Two-Dimensional Radiographs: A Retrospective Study and Literature Review, in the Journal: Medicina 2023, 768 of /2023/
- what: In this study, 3 of 9 the authors aimed to evaluate the diagnostic accuracy of artificial_intelligence in detecting apical pathosis on periapical radiographs. The model showed 82% sensitivity, 84% specificity, and an F1 score equal to 0.82 . In terms of diagnosing periapical lesions . . .
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