Artificial Intelligence: An Overview of Dental Applications

Artificial intelligence (AI) is emerging as a promising modality and could be anticipated to shape the future of dental health caredelivery. Artificial intelligence is the solution that assists doctors rather than replaces them, and hence is more likely to be accepted byhealthcare professionals. Artificial Intelligence has several clinical applications and has encompassed almost all the specialties of the dentalfield. Common dental diseases such as dental caries, pulpal pathologies, bone loss, cysts, salivary gland disease, lymph node metastasis, etc.,are easily diagnosed and well treated with the help of AI and robotics. AI and Machine learning has made an excellent and impactful way ofchanging dentistry. In dentistry, AI helps predict the future of disease, that is, prognosis and treatment planning. Additionally, it will opennew avenues in research and development. Since the last few centuries, AI has shown significant growth and progress in digital technology.The applications of AI have been tremendously increased in terms of data sciences, robotic field machine intelligence and deep learning,and computer sciences. Now a day's, expert human minds get replaced by computer data, or the mind gets filled with robotic fields. Whentalking in the field of medicine and dentistry has various numbers of applications that improve the outcomes of the patient. In dentistry, AIhas played a major role in diagnosis, identifying abnormal and normal structures, and resulting in the best treatment output. This reviewgives light on the importance of the robotic field in dentistry. This review covers a combination of all aspects of artificial intelligence indentistry that should have been included in some articles. Most of the review studies focus on intelligence networks and the applications ofartificial intelligence in dentistry. The article concludes that the implementation of sources of artificial intelligence in dentistry as well as inmedical sciences with more precise results and minimum amount of error.