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Applications of Artificial Intelligence (AI) for Diagnosis of Periodontal/Peri-Implant Diseases: A Narrative Review
Rupanjan Roy
,
Aditi Chopra
*
,
Shaswata Karmakar
, Subraya Giliyar Bhat
*
Corresponding author for this work
Department of Periodontology, Manipal College of Dental Sciences, Manipal
Research output
:
Contribution to journal
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Review article
›
peer-review
2
Citations (Scopus)
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INIS
applications
100%
artificial intelligence
100%
biological markers
9%
bones
18%
comparative evaluations
9%
data
9%
defects
9%
diseases
100%
fractures
9%
implants
100%
junctions
9%
learning
27%
levels
18%
machine learning
18%
neural networks
54%
pathology
9%
patients
9%
planning
18%
prediction
18%
reviews
100%
risk assessment
9%
risks
18%
symptoms
18%
teeth
27%
tools
27%
Medicine and Dentistry
Anatomical Concepts
14%
Biological Marker
14%
Cementoenamel Junction
14%
Dentist
28%
Diseases
100%
Immunopathology
14%
Implant
100%
Oral Implants
14%
Periodontal Disease
57%
Periodontal Treatment
14%
Physical Disease by Body Function
28%
Treatment Planning
28%