Download Deep Learning For Detection of Periapical Radiolucent Lesions: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy PDF Free - Full Version
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About Deep Learning For Detection of Periapical Radiolucent Lesions: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy
This systematic review evaluated the accuracy of deep learning models in detecting periapical radiolucent lesions (PARLs) in dental radiographs compared to expert clinicians. Eighteen studies were included, with six selected for quantitative analysis. Pooled sensitivity was 92.5% and specificity was 85.2%, indicating deep learning models can detect PARLs with high accuracy similar to experts. However, most studies had risks of bias and prospective studies were lacking. Overall, the evidence suggests deep learning is a highly accurate method for detecting PARLs in dental radiographs.
Detailed Information
| Author: | ['Denti Ki'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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