Artificial Intelligence: A Cognitive Advancement towards Future Dentistry

Mishra, Sukanya; Satpathy, Anurag; Mohanty, Rinkee; Nayak, Rashmita; Nayak, Manoj K.; Das, Abhaya Chandra

doi:10.5958/0976-5506.2019.03616.7

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies have found different photoanalysis standardization settings, like resolution, magnification, exposure, or white balance, that may be affected by outcomes. When occlusal images were utilized like a source of information, all studies used the International Caries Detection and Assessment System (ICAD) for assessment as well as classifying the occurrence of caries 30 . In most studies studied, ICAD professionals or competent doctors conducted the imaging exams, and only one study compared visual and histological findings.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review on Artificial Intelligence Applications in Restorative Dentistry

Fatima¹,

Akbar²,

Ahmed³

et al. 2023

PJMHS

View full text Add to dashboard Cite

Statement of problem: Artificial intelligence (AI) applications are increasingly used in restorative process. But existing dentistry restoration effectiveness as well as growth and IA applications have not yet been systematically analyzed or documented. Purpose: The goal of such comprehensive evaluation is to discover & assess the abilities associated with artificial intelligence models in restorative dentistry for the analysis of caries as well as vertical tooth fracture, evaluate margins in preparing tooth, and analyze reconstructive failures. Methods: A systematic electronic review of 5 databases was carried out: PubMed/ MEDLINE, World of Science, EMBASE, Scopus and Cochrane. The investigation was carried out manually as well. Research using AI models was chosen on the basis of 4 criterion: dental caries diagnostics, diagnostics, vertical tooth fracture, tooth preparation recognition, & cause of failure of restoration. Both researchers rated the quality of the study for Critical Appraisal Checklist for Quasi-Experimental Studies (nonrandomized experimental studies). The 3rd author was asked for resolving the dispute. Results: 34 researches were made the part of this analysis: from which 29 contains artificial intelligence techniques including the diagnostics or treatment related to caries and its causes according to sensitivity models, 2 to diagnose vertical tooth fractures, 1 to prepare the teeth. Among the studied analysis, the accuracy of caries diagnosis in the AI models was tested from 76-88.3%, sensitivity from 73-90%, as well as specificity from 61.5-93%. In the study, the accuracy of predicted caries ranges from 83.6-97.1%. The performed research showed the accuracy of the analysis of a vertical tooth fracture from 88.3-95.7%. The study, which uses AI models to find a destination, had details with the range of 90.6-97.4%. Conclusions: AI models are a powerful tool for diagnosing caries as well as vertical tooth fractures, recognizing preparation margins and predicting restoration failures. But, the dental use of AI models continues to evolve. More research is needed to evaluate the clinical effectiveness of artificial intelligence models in restorative dentistry. Keyword: Artificial intelligence, restorative dentistry, vertical tooth fractures.

show abstract

Section: Discussionmentioning

confidence: 99%

A Systematic Review on Artificial Intelligence Applications in Restorative Dentistry

Fatima¹,

Akbar²,

Ahmed³

et al. 2023

PJMHS

View full text Add to dashboard Cite

show abstract

“…Digital Dental assistant (DeXVoice) available in the marke [43,44]. AI incorporated voice command dental chairs are available [2].…”

Section: Recent Innovationsmentioning

confidence: 99%

A Survey to Assess Awareness and Knowledge on the Role of Artificial Intelligence (AI) in Dentistry among Dental Teaching Faculty from Various Dental Colleges across India

Rao

Sekhar

Reddy

et al. 2023

J. Pharm. Res. Int.

View full text Add to dashboard Cite

Aim: The aim of present study was intended to assess the dental teaching faculty of various dental colleges across India were how much aware and know about the role of Artificial Intelligence (AI)in Dentistry. Study Design: A descriptive cross-sectional study was performed using a pre-designed questionnaire through various social media. Place and Duration of Study: Through e-mails, and Whats App, the Questionnaire was sent to the participants of various dental colleges across India from 6th February 2023 to 31st March 2023. Methodology: Validated and pre-tested questionnaire was used and sent to dental teaching faculty of various dental institutions across India. A total of 407 responses were received. The received data was entered in Microsoft Excel sheet. Descriptive Statistical Analysis was done by using IBM SPSS version 26. Results: A total of 407 faculty members participated. Associate Professors/Readers stood in first place (149) and the least participation from Assistant Professors/Senior Lecturers (43). Gender wise males are dominated (217) than females (190). 42.4% of Professors were aware about the applications of AI already using in Dentistry and 93.9% of the participants of the opinion that in the future, AI is threat for the dentists. Conclusion: Almost all the participants expressed their opinion on AI based treatment which will be accepted by the patients and all the teaching faculty members knows about the latest advances of AI in dentistry.

show abstract

Artificial Intelligence: A Cognitive Advancement towards Future Dentistry

Cited by 2 publications

References 0 publications

A Systematic Review on Artificial Intelligence Applications in Restorative Dentistry

A Systematic Review on Artificial Intelligence Applications in Restorative Dentistry

A Survey to Assess Awareness and Knowledge on the Role of Artificial Intelligence (AI) in Dentistry among Dental Teaching Faculty from Various Dental Colleges across India

Contact Info

Product

Resources

About