Artificial Intelligence in Pediatric Dentistry | AI-Driven Pediatric Dental Care | AGPH Books
by Dr. Anaya Kulkarni Kale, Dr. Satish Maran, Dr. Preksha Khare
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Artificial Intelligence in Pediatric Dentistry | AI-Driven Pediatric Dental Care | AGPH Books
Artificial Intelligence in Pediatric Dentistry explores how digital innovation is transforming oral healthcare for infants, children, and adolescents. It highlights the importance of oral health, noting that untreated dental decay affects nearly half of the global population and may lead to serious developmental issues.
Furthermore, the book traces the evolution of dentistry, from early barber surgeons to the introduction of Artificial Intelligence in 1956 by John McCarthy. This historical perspective sets the stage for modern advancements. It also explains key concepts such as machine learning, deep learning, and neural networks, showing how they enhance diagnostic precision.
In addition, the book focuses on advanced technologies like Convolutional Neural Networks (CNNs). These systems mimic human visual processing and help detect dental caries and anatomical structures with greater accuracy. As a result, diagnoses become faster and more reliable, especially in pediatric patients.
Moreover, the text explores predictive tools powered by machine learning. These tools identify children at high risk for Early Childhood Caries (ECC) by analyzing genetic, environmental, and behavioral factors. Consequently, preventive care becomes more effective and personalized.
Beyond diagnostics, the book examines AI applications in behavior management and restorative dentistry. For instance, innovations...
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