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AI in dentistry
·
Module 3
Understanding AI Performance Metrics
1
Understanding Sensitivity and Specificity in Dental Diagnostics
Define sensitivity and specificity in the context of a dental diagnostic test.
2
Understanding PPV and NPV
Define positive predictive value (PPV) and negative predictive value (NPV).
3
Beyond Overall Accuracy: Why It Can Deceive
Explain why overall accuracy can sometimes be a misleading metric.
4
Understanding ROC Curves and AUC
Interpret a Receiver Operating Characteristic (ROC) curve and the meaning of the Area Under the Curve (AUC).
5
Optimizing Models: Sensitivity, Specificity, and Clinical Utility
Relate performance metrics to clinical utility (e.g., choosing between a high-sensitivity or high-specificity model).
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Training AI for Dental Vision
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AI in Radiographic Diagnosis: Caries & Periodontics