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Acta Scientific DENTAL SCIENCES (ISSN: 2581-4893)
Volume 4 Issue 10 October 2020
Rashmi J Kurup1*, Amandeep Sodhi2 and Sangeetha R3
1Post Graduate Student, Department of Oral Medicine and Radiology, Bangalore
Institute of Dental Sciences and Hospital, Bangalore, India
2Reader, Department of Oral Medicine and Radiology, Bangalore Institute of Dental
Sciences and Hospital, Bangalore, India
3Senior Lecturer, Department of Oral Medicine and Radiology, Bangalore Institute of
Dental Sciences and Hospital, Bangalore, India
*Corresponding Author: Rashmi J Kurup, Post Graduate Student, Department of
Review Article
Received: July 27, 2020
Published: September 16, 2020
Rashmi J Kurup.,
et al.
Abstract
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Keywords:
Abbreviations
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Index
Introduction
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Citation: Rashmi J Kurup., et al.
of artifacts that show such behavior’ [1]
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command dental chair without any physical input from doctor in
the least [2]
History
One of the most important visionary and theoretician was Alan
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-
[4]
Concept of AI
There are two sub concepts that divide the whole scope of mean-
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To understand the concepts in AI one should be familiar about
various terms
Machine learning (ML)
Deep learning
Representation learning
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Artificial neural networks (ANNs)
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Clinical decision support system CDSS
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Augmented reality
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Virtual reality
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Citation: Rashmi J Kurup., et al.
Applications in dentistry
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[7]
[8]
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dled with voice command that do not need any manual input from
clinician
E-learning in dentistry
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[8]
the practical procedures in three dimensions and allows access to
Oral medicine and maxillofacial radiology
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[11], predict
aphthous ulcers
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, to
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arthritis
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[12]
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to its distinctive ability to learn and may be assimilated with
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, to detect
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tistics, data science and be aware of other sources of information
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[6]
Pediatric dentistry
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Dentistry and Artificial Intelligence
Citation: Rashmi J Kurup., et al.
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[18]
Oral and maxillofacial surgery
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is simulated [20]
et al
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[21]
dentistry to rate facial attractiveness, by a face detector and a dedi-
Pathology
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necessary [12]
Orthodontics
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[22]
the treatment [24], to predict orthodontic treatment plans, includ-
patterns
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traction of patients with malocclusion
based orthodontics can improve case acceptance when combined
Periodontics
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[26]
density and detection of peri implantitis [27]
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[28]
Prosthodontics
to de-
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tional tool for the patient
Conservative dentistry and endodontics
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can accurately locate tooth areas prone to caries and complex peri-
Dentistry and Artificial Intelligence
Citation: Rashmi J Kurup., et al.
[16,17]
materials and to choose them wisely for suitable cases and
[14]
Community health sector
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and also able
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Advantages of AI
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diction of potential health problems a person can have in the future
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Disadvantages of AI
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Conclusion
Dentistry and Artificial Intelligence
Citation: Rashmi J Kurup., et al.
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et al.
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Biomedical Imaging and Intervention Journal
et al.-
Clinical
Oral Implants Research
Dentistry and Artificial Intelligence
Citation: Rashmi J Kurup., et al.
et al.
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European Journal of Ortho-
dontics
et al. -
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. The Angle Orthodontist
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Com-
pendium of Continuing Education in Dentistry
et al.
Dental
Update
et al.-
et al. “Virtual reality distraction for pain con-
The Journal of the American Dental Association
et al. -
Clinical Oral Implants Research
et al.
Jour-
nal of Periodontology
et al.-
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et al.
Journal of Prosthodontic Research
et al. -
tion system for porcelain fused to metal crown preparation at
Journal of Dental Educa-
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Imaging Science in Dentistry
et al.
QI. Quintessence Inter-
national
et al. -
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Functional Neurosurgery
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et al.-
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et al. “Prediction of dental caries in 12-year-
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Dentistry and Artificial Intelligence
Citation: Rashmi J Kurup., et al.