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Record Nr. |
UNINA9910633912903321 |
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Autore |
Shaykh Khà„lid |
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Titolo |
Artificial Intelligence in Dentistry / / by Khalid Shaikh, Sreelekshmi Vivek Bekal, Hesham Fathi Ahmed Marei, Walid Shaaban Moustafa Elsayed, Dusan Surdilovic, Lubna Abdel Jawad |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (205 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Dentistry |
Artificial intelligence |
Machine learning |
Biomedical Engineering and Bioengineering |
Artificial Intelligence |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Introduction to Dentistry and Dental Health -- Evolution of Dental Profession -- Prevalent Dental Diseases: Symptoms, Types, Etiology -- Connection between mouth and body - Importance of dental health in general health & well-being -- Advances in Dentistry -- Artificial Intelligence and its Role in Healthcare -- Artificial Intelligence and Machine Learning in Dentistry -- Case Studies. |
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Sommario/riassunto |
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This book provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML). The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, |
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assessment, and management of these conditions. This book combines engineering applications and medical healthcare and will be an important reference for researchers, biomedical engineers, dental students, and dental practitioners. Looks at recent advances in dental and oral health; Discusses AI applications in dentistry; Includes case studies. |
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