Role of Artificial Intelligence (AI) in Dentistry

Research areas:

• Volume 12, Issue 6, May 2024

Year:

2024

Type of Publication:

Article

Keywords:

Machine Learning, Application, Artificial Intelligence, Future of Dentistry, Neural Networks, Robots

Authors:

Nikita Parasrampuria; N. Gopi Chander; Jayanta Chattopadhyay; Dolanchanpa Dasgupta; Himadri S. Pal; Akshita Arora; Gautami Pal

Journal:

IJAIM

Volume:

12

Number:

6

Pages:

46-52

Month:

May

ISSN:

2320-5121

Abstract:

Background: The miracle in the field of science and technology has found its place in the field of medicine. The term Artificial Intelligence was first described by John McCarthy in the year 1956 as the deep engineering-based science of making the term AI in 1956 as the science and engineering of making intuitive machines. Artificial intelligence (AI) is a broad term that describes versatile use case of computers aided design and technology towards simulation of intelligent behavior, deep & critical thinking, that is in directly comparable to the patterns of learning of a human being. Objective: This following review article provides a broad insight on the multiple uses of AI in healthcare, including treatment planning, diagnostic imaging, and patient management in the field of dentistry. It aims to develop knowledge and familiarity of AI among primary care physicians. Materials and Methods: PubMed and Google searches were performed using the key words ‘artificial intelligence’, ‘dentistry’. Further references were obtained by cross-referencing the key articles. Results: Multiple applications of artificial intelligence in the field of dentistry, by applying it to analyse radiographs, CBCT scans, patient data, customized treatment plans, early anomaly detection, and reduced administrative workload were the key highlights found in the review. Conclusion: AI has the potential to completely transform dentistry by influencing treatment planning, diagnostics, and patient care. Medical professionals need to understand and acclimatize themselves with these advances for better healthcare delivery to the masses. Obstacles like data protection and integration issues are still in the stage of development.

Full text: IJAIM_677_FINAL.pdf