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[Physiological age estimation model on pediatric panoramic radiographs based on machine learning and deep learning].
1Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
This study developed automated methods using deep learning to estimate children's physiological age from dental radiographs. The approaches show promise for screening developmental abnormalities in children.
Area of Science:
- Pediatric Dentistry
- Radiology
- Artificial Intelligence in Healthcare
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