Machine learning dentistry (26 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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    Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer, 2021

    3030718808 / 9783030718800

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    hardcover. Condizione: Very Good. Hardcover issued without dust-jacket. Clean and solid. Ships from a smoke-free home.

  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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  • Lingua: Inglese

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    3030718832 / 9783030718831

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to 'learn', for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work. …

  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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    Taschenbuch. Condizione: Neu. Machine Learning in Dentistry | Ching-Chang Ko (u. a.) | Taschenbuch | x | Englisch | 2022 | Springer | EAN 9783030718831 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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    paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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    Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to ¿learn¿, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work. …

  • Lingua: Inglese

    Editore: Springer, 2021

    3030718808 / 9783030718800

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to 'learn', for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.…

  • Lingua: Inglese

    Editore: Springer, 2021

    3030718808 / 9783030718800

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030718832 / 9783030718831

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6630287258 / 9786630287257

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book examines how statistical and machine learning prediction models are applied across dentistry. It opens with foundational concepts (predictors, outcomes, model types) before covering discipline-specific applications: caries risk assessment, periodontal disease, orthodontics, oral cancer detection, implantology, endodontics, and prosthodontics. Later chapters address methodology - model validation, evaluation metrics, sample size estimation, bias, and data infrastructure/regulatory issues - plus illustrative case studies (including AI-assisted vs. conventional implant planning). It closes with ethical considerations, future directions, a glossary, abbreviations list, references, and a worked sample-size calculation appendix for an in-vivo implant comparison study. Written for postgraduate students and researchers.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6630287258 / 9786630287257

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    Taschenbuch. Condizione: Neu. APPLICATION OF PREDICTION MODELS IN DENTISTRY | From Statistical Regression to Machine Learning | Akash Gopi (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630287257 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

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  • Lingua: Inglese

    Editore: Springer International Publishing Jul 2022, 2022

    3030718832 / 9783030718831

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to 'learn', for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work. 200 pp. Englisch.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6630355652 / 9786630355659

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Digital Smile Designing (DSD) revolutionizes aesthetic dentistry by merging principled smile design with standardized photo and video protocols to analyse facial, dentofacial, dental, and gingival parameters. Capturing static and dynamic smiles improves reproducibility, interdisciplinary communication, and predictable outcomes. Transition from 2D to 3D CAD/CAM systems-integrating intraoral, facial scans, and CBCT-enables comprehensive virtual patient models for restorative, orthodontic, periodontal, and implant planning. AI enhances efficiency through automated facial analysis, tooth segmentation, and realistic outcome simulations, boosting patient understanding. Although technical sensitivity and learning curves exist, DSD's benefits-better communication, predictability, and satisfaction-make it central to personalized, evidence-based aesthetic care.…

  • Lingua: Inglese

    Editore: Springer, Berlin|Springer International Publishing|Springer, 2022

    3030718832 / 9783030718831

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artif.…

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    Editore: LAP LAMBERT Academic Publishing, 2026

    6630355652 / 9786630355659

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    Taschenbuch. Condizione: Neu. DIGITAL SMILE DESIGNING | Integration of AI and Machine Learning in Dentistry | Khushi Shah (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630355659 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

  • Lingua: Inglese

    Editore: Springer, Springer Jul 2022, 2022

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to ¿learn¿, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.…

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    Editore: Springer International Publishing Jul 2021, 2021

    3030718808 / 9783030718800

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to 'learn', for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work. 200 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer International Publishing, 2021

    3030718808 / 9783030718800

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reviews use of machine learning in contemporary dentistryCovers applications in dental practice and researchHighlights benefits, opportunities, and challengesChing-Chang Ko, DDS, MS, PhD, is Professor and Vig/William Endow. …

  • Lingua: Inglese

    Editore: Springer, Springer Jul 2021, 2021

    3030718808 / 9783030718800

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to ¿learn¿, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch. …

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  • Lingua: Inglese

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    3030718808 / 9783030718800

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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