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AI Applications in Pediatric Dentistry

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Questions and Answers

What is the current accuracy level of AI applications in predicting early childhood caries?

Above 80 percent

Above 60 percent (correct)

Between 50-60 percent

Less than 50 percent

What is the primary limitation of using AI in pediatric dentistry?

Low performance in predicting non-response to silver diamine fluoride treatment

High risk of bias in included studies

Insufficient data to draw definitive conclusions (correct)

Inability to detect early childhood caries

What is the outcome of silver diamine fluoride treatment that AI models can predict with high performance?

Dental plaque detection

Non-response to treatment (correct)

Tooth identification and numbering

Response to treatment

What is the risk of bias assessment outcome for the majority of domains in the included studies?

<p>Low risk of bias</p> Signup and view all the answers

What is an additional application of AI in pediatric dentistry beyond early childhood caries detection?

<p>Tooth identification and numbering</p> Signup and view all the answers

AI Applications in Pediatric Dentistry

Choose a study mode

Podcast

Questions and Answers

What is the current accuracy level of AI applications in predicting early childhood caries?

What is the primary limitation of using AI in pediatric dentistry?

What is the outcome of silver diamine fluoride treatment that AI models can predict with high performance?

What is the risk of bias assessment outcome for the majority of domains in the included studies?

What is an additional application of AI in pediatric dentistry beyond early childhood caries detection?

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