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. 2025 Jun;17(Suppl 2):S1297-S1300.
doi: 10.4103/jpbs.jpbs_1920_24. Epub 2025 Jun 18.

Impact of AI-Driven Technologies on Patient Satisfaction in General Dentistry: A Systematic Review and Meta-Analysis

Navin Anand Ingle  1 , Rana Ahmed AlOraini  2 , Fatimah Mahmoud Radhi  2 , Ghadi Khalid AlSaydalani  2 , Arwa Mahmoud Mansour  2 , Alanoud Fahad AlHarkan  2 , Areej Mohammad Wadaan  2
Affiliations

Impact of AI-Driven Technologies on Patient Satisfaction in General Dentistry: A Systematic Review and Meta-Analysis

Navin Anand Ingle et al. J Pharm Bioallied Sci. 2025 Jun.

Abstract

Background: Artificial intelligence (AI) technologies have increasingly been incorporated into general dentistry, offering potential advancements in diagnostic accuracy, patient care, and communication.

Methods: A systematic review and meta-analysis were conducted to evaluate the effects of AI-driven technologies on patient satisfaction in general dentistry. Studies published between January 2010 and the present were included, focusing on AI applications such as diagnostic tools, virtual assistants, robotic systems, and teledentistry.

Results: The meta-analysis included 1225 patients across seven studies, with 350 patients experiencing non-significant effects of AI technologies. The pooled effect size for patient satisfaction was 1.16 (95% CI: 1.11-1.22; Z = 41.75, P < 0.00001). Significant improvements were observed in diagnostic accuracy, procedural efficiency, patient trust, and communication, with reduced anxiety and increased convenience.

Conclusion: AI-driven technologies demonstrated a significant positive impact on patient satisfaction in general dentistry. Enhanced diagnostic precision, personalized care, and effective communication were the key contributors to improved outcomes.

Keywords: Artificial intelligence; diagnostic tools; general dentistry; patient satisfaction; robotic systems; teledentistry.

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Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
Bias assessment protocol for this review
Figure 2
Figure 2
Efficacy of AI in eliciting significant patient satisfaction scores
See this image and copyright information in PMC

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