Artificial Intelligence in Dentistry: A Descriptive Review
Author Information
Author(s): Mallineni Sreekanth Kumar, Sethi Mallika, Punugoti Dedeepya, Kotha Sunil Babu, Alkhayal Zikra, Mubaraki Sarah, Almotawah Fatmah Nasser, Kotha Sree Lalita, Sajja Rishitha, Nettam Venkatesh, Thakare Amar Ashok, Sakhamuri Srinivasulu, Mai Hang Nga, Joda Tim
Hypothesis
The objective of this descriptive review is to review the most recent developments of AI in the field of dentistry.
Conclusion
AI is a promising and growing technology in the field of dentistry, capable of reducing practitioners' workloads and improving precision in diagnosis and treatment.
Supporting Evidence
- AI is becoming increasingly prevalent in dentistry, contributing to the diagnosis of oro-facial diseases.
- AI applications in dentistry include imaging, diagnosis, treatment planning, and administrative support.
- AI models can assist less-skilled practitioners in reaching more precise diagnoses.
- AI can improve diagnosis accuracy and increase administrative task efficiency in dental practices.
- AI systems can predict disease likelihood and enable personalized treatment plans.
Takeaway
This study talks about how computers can help dentists do their jobs better, like finding problems in teeth faster and making treatments easier.
Methodology
This is a descriptive review summarizing recent developments in AI applications in dentistry.
Potential Biases
Potential biases in AI algorithms and data privacy concerns are noted.
Limitations
The study does not provide specific limitations but mentions challenges related to data management and ethical considerations.
Digital Object Identifier (DOI)
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