Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Interdental Jurnal Kedokteran Gigi (IJKG)
Made Talitha Suryaningsih Pinatih
Faculty of Dentistry, Universitas Mahasaraswati Denpasar
Biochemistry, Genetics & Molecular Biology Dentistry Medicine & Pharmacology Public Health

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PERIODONTICS IN ARTIFICIAL INTELLIGENCE ERA : A LITERATURE REVIEW Ni Wayan Arni Sardi; Ni Luh Putu Sri Maryuni Adnyasari; Made Talitha Suryaningsih Pinatih
Interdental Jurnal Kedokteran Gigi (IJKG) Vol. 19 No. 2 (2023): Interdental Jurnal Kedokteran Gigi (IJKG)
Publisher : Fakultas Kedokteran Gigi, Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46862/interdental.v19i2.7859

Abstract

Introduction: Artificial intelligence (AI) involves the creation of computer systems that imitate human actions, and it is progressively adopted as a supportive tool in aiding clinicians with disease diagnosis and treatment. One prevalent global ailment is periodontitis, which leads to the degradation and loss of the tooth-supporting tissues. The aim of this  review is to evaluate existing literature that delineates the influence of AI on diagnosing and studying the prevalence of this condition. Review: A Pubmed advanced search with narrative review was conducted of the past ten years using several search term such as “artificial Intelligences” and “periodontics”. Thorough searches were conducted on Pubmed in June 2023, encompassing studies where AI functioned as the independent variable for assessing, diagnosing, or treating patients with periodontitis. After eliminating duplicates, a total of 100 articles were recognized for preliminary abstract scrutiny. Of these, 76 documents were excluded, resulting in 24 texts for comprehensive evaluation. Conclusion: The development of artificial intelligence in the field of dentistry requires more systematic reviews and meta-analyses to enhance the knowledge and scope of artificial intelligence applications. AI models for periodontal applications are still under development and in the future, they have the potential to support diagnostic accuracy capability.
Co-Authors Ni Luh Putu Sri Maryuni Adnyasari Ni Wayan Arni Sardi