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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

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Artificial intelligence: contemporary applications and future compass.

Sunali Khanna¹

¹Department of Oral Medicine and Radiology, Nair Hospital Dental College, Mumbai, India. sunali3011@yahoo.com

International Dental Journal

|October 19, 2010

Summary

Artificial intelligence in dentistry can improve patient care and reduce errors, especially in developing nations. Clinical decision support systems (CDSS) offer expert guidance but face slow implementation due to evaluation and cost challenges.

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Published on: September 26, 2025

Area of Science:

Dentistry
Health Informatics
Artificial Intelligence

Background:

Information technology use in dentistry has grown significantly.
Developing countries face challenges with specialist shortages, increasing patient mortality.
Artificial intelligence (AI) and Clinical Decision Support Systems (CDSS) can address these issues by reducing costs, errors, and reliance on human expertise.

Purpose of the Study:

To explore the potential of AI and CDSS in revolutionizing dental public health in developing countries.
To highlight the diverse applications of CDSS in dental sciences.
To identify barriers to CDSS implementation and discuss factors accelerating adoption.

Main Methods:

Review of current trends in information technology in dental practice.
Analysis of the role and potential of AI and CDSS in addressing healthcare disparities.
Discussion of challenges and facilitators for CDSS implementation.

Main Results:

CDSS applications span various dental fields, including emergencies, diagnostics, orthodontics, and prosthetics.
Implementation barriers include lack of formal evaluation, standardization issues, cost, and practitioner skepticism.
Growing public focus on safety and quality is driving the adoption of knowledge-based CDSS.

Conclusions:

AI and CDSS hold significant promise for improving dental public health outcomes, particularly in resource-limited settings.
Overcoming implementation challenges is crucial for widespread adoption and realizing the full potential of these technologies.
Continued development of IT applications in dentistry is expected to reduce oral disease morbidity and mortality, enhancing patient care.