Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Current Trends in Orthodontic Machine learning

Current Trends in Orthodontic Machine learning

M, Hemanth
Shaji, Sanjana
Waremani, Afshan Saman

Paperback

Medical Reference

ISBN10: 6207997700
ISBN13: 9786207997701
Publisher: LAP Lambert Academic Publishing
Published: Aug 7 2025
Pages: 104
Weight: 0.33
Height: 0.25 Width: 6.00 Depth: 9.00
Language: English
This book explores the transformative role of machine learning (ML) in modern orthodontics, emphasizing how AI-driven technologies enhance diagnosis, treatment planning, and clinical outcomes. It introduces the basics of ML and deep learning, highlighting their capabilities in analyzing vast dental datasets and learning patterns from clinical cases. The book reviews various ML models-such as artificial neural networks, convolutional neural networks, and genetic algorithms-and their accuracy in tasks like cephalometric landmark detection, growth prediction, extraction decisions, and treatment outcome forecasting. It discusses the development of clinical decision support systems (CDSS) powered by ML, enabling more consistent and objective treatment recommendations. Numerous studies are reviewed to showcase ML's application in areas like facial analysis, skeletal maturity assessment, orthognathic surgery planning, and remote care. Despite challenges like data standardization and model generalization, ML holds strong promise in improving diagnostic precision and personalizing orthodontic care.

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