Artificial intelligence up fronting dentistry


Review Article

Author Details : Saif R Siddiqui, Isha Rastogi*, Fatima Rasheed Khan

Volume : 11, Issue : 2, Year : 2024

Article Page : 47-49

https://doi.org/10.18231/j.johs.2024.012



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Abstract

Artificial Intelligence (AI) is revolutionizing the field of dentistry by enhancing diagnostic accuracy, treatment planning, and patient care. This article provides an overview of the significant advancements AI has introduced in dental practice. The integration of AI-driven tools, such as machine learning algorithms and computer vision, enables precise analysis of radiographs, 3D imaging, and other diagnostic data, leading to early detection of dental diseases and anomalies. AI-powered systems facilitate personalized treatment plans by predicting outcomes and optimizing procedures based on vast datasets. Furthermore, AI enhances patient management through automated appointment scheduling, virtual consultations, and real-time communication platforms, improving overall patient experience and compliance. The adoption of AI in dentistry not only streamlines clinical workflows but also augments the capabilities of dental professionals, paving the way for a more efficient, accurate, and patient-centric approach to oral healthcare. This article emphasizes the transformative impact of AI on dental practice, highlighting current applications, potential benefits, and future directions in the current challenges in AI-driven dentistry.


Keywords: Artificial Intelligence, AI in Dentistry, Machine learning


How to cite : Siddiqui S R, Rastogi I, Khan F R, Artificial intelligence up fronting dentistry. J Orofac Health Sci 2024;11(2):47-49


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International, which allows others to remix, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 18-05-2024

Accepted : 13-06-2024


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Article DOI

https://doi.org/ 10.18231/j.johs.2024.012


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