Artificial Intelligence: Basics and Recent Health Care Protocols in Dentistry
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Artificial Intelligence: Basics and Recent Health Care Protocols in Dentistry
Artificial Intelligence: Basics and Recent Health Care Protocols in Dentistry
Authors:
Isaac Abraham1, Sathish Abraham2, Lisa Neelathil Chacko3
12nd Year B-Tech Student, Christ University, Kengeri, Bengaluru, Karnataka
2Professor and HoD, Conservative Dentistry and Endodontics, SMBT Dental College and Hospital, Sangamner, Maharashtra
32Professor, Periodontology, SMBT Dental College and Hospital, Sangamner, Maharashtra
Abstract - Artificial Intelligence (AI) has revolutionized healthcare and dentistry by enabling accurate diagnosis, prediction, and personalized treatment. This review article provides an in-depth understanding of AI in healthcare and its impact on dentistry. AI technology has transformed various aspects of dental practice, including diagnosis, treatment, and patient care. AI-powered image processing systems have significantly assisted dental professionals in diagnosing and treating dental diseases. Additionally, AI technology has improved patient management and communication, enabling personalized care and enhancing the overall dental experience.
In dentistry, AI has been applied in various areas, including restorative dentistry, endodontics, and regenerative dentistry. AI models have shown accuracy in detecting dental caries, vertical root fractures, and periapical lesions. In endodontics, AI has displayed accuracy in diagnostic and prognostic evaluations, enhancing treatment planning and success rates. Despite the benefits, AI technology faces challenges, including the need for large datasets, complex mechanisms, and high costs. However, the future of AI in healthcare and dentistry looks promising, with potential applications in precision and accuracy, research exploration, and repetitive task management.
Recent advances in AI have opened up new possibilities, including deep learning models and integration with other technologies. As AI continues to evolve, it is
expected to drive innovation, improve efficiency, and enhance human life. Further research is needed to test the dependability, relevance, and expenditure of AI models before integrating them into routine clinical work. Nevertheless, AI has the potential to transform dentistry, improving diagnostic accuracy, reducing costs, and enhancing patient outcomes.
Key Words: Artificial Intelligence, Machine learning, Deep learning, Neural networks, Artificial Intelligence in healthcare, AI in restorative dentistry, AI in Endodontics, AI in regenerative endodontics