Omid Panahi*

University of the People, Department of Healthcare Management, California, USA

*Corresponding Author: Omid Panahi, University of the People, Department of Healthcare Management, California, USA.

Received: June 17, 2024; Published: July 19, 2024

Abstract

Digital dentistry is undergoing a revolution with the integration of Artificial Intelligence (AI). AI platforms are transforming workflows by analyzing 3D jaw-teeth-face data from various sources like CBCT scans, oral scanners, and facial recognition. This allows for:

• Enhanced Diagnosis: AI algorithms can analyze dental images with high accuracy, assisting dentists in early detection and diagnosis of various conditions.
• Improved Treatment Planning: AI facilitates virtual treatment planning and surgical simulations, leading to more precise and personalized care.
• Optimized Workflows: AI automates routine tasks, freeing up dentists' time for complex procedures and patient interaction.
• Predictive Outcomes: AI algorithms can analyze past data to predict treatment outcomes, potentially reducing complications and improving success rates.

Overall, AI in digital dentistry offers significant benefits:

• Increased Accuracy: AI algorithms can surpass human capabilities in identifying subtle patterns and anomalies in dental images.
• Efficiency Gains: Automation of tasks streamlines workflows, saving time and resources.
• Personalized Care: AI-powered tools enable dentists to tailor treatment plans to individual patient needs and preferences.
• Improved Patient Satisfaction: Increased accuracy and efficiency lead to better treatment outcomes and potentially fewer revisits.

While AI is a powerful tool, it's crucial to remember that dentists remain central to decision-making and patient care. AI serves as a valuable supplement, enhancing the capabilities of dental professionals.

 Keywords: Artificial Intelligence (AI); Digital Dentistry

References

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Citation

Citation: Omid Panahi. “AI Ushering in a New Era of Digital Dental-Medicine”.Acta Scientific Medical Sciences 8.8 (2024): 131-134.

Copyright

Copyright: © 2024 Omid Panahi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.