Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Navigating the Landscape of Artificial Intelligence and Machine Learning in Dentistry on Unveiling Opportunities, Challenges, and Ethical Dimensions
0
Zitationen
5
Autoren
2025
Jahr
Abstract
This detailed overview covers modern dentistry's dynamic AI and ML applications. It investigates how these technologies are changing dental procedures using various studies. From improving diagnosis accuracy to personalizing treatment regimens, AI and ML are transforming dental care and improving patient outcomes. According to the review, AI and ML can improve diagnostic accuracy and personalize treatment in dentistry. However, it addresses issues like data scarcity, ethics, and the necessity for rigorous validation. Dental professionals, technological specialists, and regulatory organizations must collaborate to maximize AI and ML's benefits. AI and ML can also improve administrative chores and workflow in dentistry practice. Dental professionals may focus on patient care using AI-powered appointment scheduling, invoicing, and inventory management tools. Practitioners can use ML algorithms to find patterns and trends in massive patient data sets to improve treatment planning and patient care. AI and ML in dentistry have many benefits, but ethical considerations must be addressed.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.324 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.189 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.588 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.470 Zit.