Enhancing Diagnostic Accuracy and Treatment Planning in Fixed Prosthetics with Artificial Intelligence
Session
Dental Science
Description
Artificial Intelligence (AI) is revolutionizing the field of fixed prosthetics by enhancing diagnostic accuracy and optimizing treatment planning. This paper explores the integration of AI technologies, such as machine learning and computer vision, in improving the precision of diagnostic tools and the efficiency of prosthetic design and placement. AI-driven systems have demonstrated superior capabilities in early detection of dental conditions like caries and periodontal diseases, crucial for the success of prosthetic treatments. By analyzing large datasets, AI tools offer consistent and objective analysis, reducing variability in diagnostics and treatment outcomes. Moreover, AI's ability to generate personalized treatment plans based on comprehensive patient data leads to better-fitting prosthetics and improved patient satisfaction. The paper also discusses the ethical and legal challenges associated with AI adoption, emphasizing the need for responsible use and continuous monitoring to ensure equitable care. Looking ahead, advancements in deep learning, predictive analytics, and AI-driven decision support systems are expected to further transform fixed prosthetics, setting new standards for excellence in dental care. However, the successful integration of AI will depend on addressing these challenges proactively, ensuring that AI enhances, rather than diminishes, the role of clinicians in delivering high-quality, patient-centered care.
Keywords:
AI, artificial intelligence, dental healthcare, fixed prosthetics, dental diagnostic accuracy, dental treatment planning.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-15-3
Location
UBT Kampus, Lipjan
Start Date
25-10-2024 9:00 AM
End Date
27-10-2024 6:00 PM
DOI
10.33107/ubt-ic.2024.173
Recommended Citation
Sokoli, Dugagjin; Kiseri, Burim; Demjaha, Genc; Berisha, Vlora; Komoni, Teuta; and Gjikolli, Arta, "Enhancing Diagnostic Accuracy and Treatment Planning in Fixed Prosthetics with Artificial Intelligence" (2024). UBT International Conference. 5.
https://knowledgecenter.ubt-uni.net/conference/2024UBTIC/DS/5
Enhancing Diagnostic Accuracy and Treatment Planning in Fixed Prosthetics with Artificial Intelligence
UBT Kampus, Lipjan
Artificial Intelligence (AI) is revolutionizing the field of fixed prosthetics by enhancing diagnostic accuracy and optimizing treatment planning. This paper explores the integration of AI technologies, such as machine learning and computer vision, in improving the precision of diagnostic tools and the efficiency of prosthetic design and placement. AI-driven systems have demonstrated superior capabilities in early detection of dental conditions like caries and periodontal diseases, crucial for the success of prosthetic treatments. By analyzing large datasets, AI tools offer consistent and objective analysis, reducing variability in diagnostics and treatment outcomes. Moreover, AI's ability to generate personalized treatment plans based on comprehensive patient data leads to better-fitting prosthetics and improved patient satisfaction. The paper also discusses the ethical and legal challenges associated with AI adoption, emphasizing the need for responsible use and continuous monitoring to ensure equitable care. Looking ahead, advancements in deep learning, predictive analytics, and AI-driven decision support systems are expected to further transform fixed prosthetics, setting new standards for excellence in dental care. However, the successful integration of AI will depend on addressing these challenges proactively, ensuring that AI enhances, rather than diminishes, the role of clinicians in delivering high-quality, patient-centered care.