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AIM in Dentistry

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Artificial Intelligence in Medicine

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Abstract

The steep rise of digital dentistry and technological advancements have opened doors for the development of artificial intelligence (AI). For the past few years, AI-based applications in dentistry have been constantly evolving as highlighted by the increasing number of studies, and now it is slowly entering the clinical arena. As healthcare professionals, dentists need to diagnose, plan, and make clinical decisions in order to provide an adequate treatment and care for their patients. All these phases are time-consuming, observer-dependent, and subjected to human error. Currently, the studies applying AI in many dental specialties have validated its application for the purpose of diagnosis and clinical decision-making. Thus, the objective of AI is to combine the professional expertise with the computer-assisted systems to automatize complex tasks, mimic human cognitive skills, and retrieve information from digital data. Dental AI applications can be advantageous for all dental specialties including dentomaxillofacial radiology, restorative dentistry, oral and maxillofacial surgery, orthodontics, periodontics, prosthodontics, endodontics, and forensic dentistry.

Even though most researches and developments are still in an early phase, current results in the dental field are encouraging for future clinical applications.

This chapter provides an overview of the current state of the art of the AI applications in dentistry and its specialties.

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Author information

Authors and Affiliations

  1. OMFS IMPATH Research Group, Department of Imaging and Pathology, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Leuven, Belgium

    Mauricio do Nascimento Gerhardt, Sohaib Shujaat & Reinhilde Jacobs

  2. School of Health Sciences, Faculty of Dentistry, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil

    Mauricio do Nascimento Gerhardt

  3. Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden

    Reinhilde Jacobs

Authors
  1. Mauricio do Nascimento Gerhardt
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  2. Sohaib Shujaat
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  3. Reinhilde Jacobs
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Correspondence to Reinhilde Jacobs .

Editor information

Editors and Affiliations

  1. Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden

    Niklas Lidströmer

  2. Imperial College London, London, UK

    Hutan Ashrafian

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do Nascimento Gerhardt, M., Shujaat, S., Jacobs, R. (2022). AIM in Dentistry. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-64573-1_319

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  • DOI: https://doi.org/10.1007/978-3-030-64573-1_319

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64572-4

  • Online ISBN: 978-3-030-64573-1

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