Revolutionizing Dentistry (Paperback)

Humera Shaikh

ISBN 10: 6209315720 / ISBN 13: 9786209315725

Published by LAP Lambert Academic Publishing, 2025

About this Item

Paperback. This comprehensive composition explores the transformative role of artificial intelligence (AI) across various domains of dentistry. Beginning with foundational concepts, it outlines the history, types, and core technologies of AI, including machine learning, neural networks, and deep learning. It highlights how AI has advanced rapidly in healthcare, particularly through diagnostic imaging, data analysis, and personalized medicine. In dentistry, AI applications span multiple specialties-diagnostics, periodontology, orthodontics, endodontics, prosthodontics, oral surgery, and radiology. AI improves diagnostic accuracy by analyzing dental images like X-rays and CBCT scans, detecting caries, fractures, TMJ disorders, osteoporosis, and even oral cancer. It supports clinicians with predictive modeling, treatment planning, and robotic-assisted surgery. Additionally, the text addresses ethical, legal, and regulatory challenges, emphasizing the need for data privacy, clinician oversight, and the refinement of AI models through clinical validation. Future directions focus on integrating AI into everyday dental practice, training dental professionals. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9786209315725

Bibliographic Details

• Title: Revolutionizing Dentistry (Paperback)
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6209315720
• ISBN 13: 9786209315725
• Binding: Paperback
• Condition: new

About this title

Synopsis

This comprehensive composition explores the transformative role of artificial intelligence (AI) across various domains of dentistry. Beginning with foundational concepts, it outlines the history, types, and core technologies of AI, including machine learning, neural networks, and deep learning. It highlights how AI has advanced rapidly in healthcare, particularly through diagnostic imaging, data analysis, and personalized medicine. In dentistry, AI applications span multiple specialties—diagnostics, periodontology, orthodontics, endodontics, prosthodontics, oral surgery, and radiology. AI improves diagnostic accuracy by analyzing dental images like X-rays and CBCT scans, detecting caries, fractures, TMJ disorders, osteoporosis, and even oral cancer. It supports clinicians with predictive modeling, treatment planning, and robotic-assisted surgery. Additionally, the text addresses ethical, legal, and regulatory challenges, emphasizing the need for data privacy, clinician oversight, and the refinement of AI models through clinical validation. Future directions focus on integrating AI into everyday dental practice, training dental professionals.