Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Dentistry: Advancements in Periodontology and Other Specialties, Diagnosis, Treatment Planning, and Ethical Considerations"
8
Zitationen
1
Autoren
2025
Jahr
Abstract
This narrative review aims to highlight how periodontology is transformed by applying artificial intelligence (AI). AI impacts periodontology in diagnosis, treatment planning, and ethical considerations. AI uses deep learning, genetic algorithms, and different logic systems to offer improved solutions for dental practices, such as in dental restoration, plaque detection, endodontic therapy, dental radiography, detection of malignant tumors, and diagnosis of periodontal diseases. In periodontology, AI has improved diagnoses and treatment plans. This discussion focuses on the advancements of using AI in healthcare and dentistry to identify and manage issues by utilizing different technologies such as convolutional neural networks (CNNs) segmentation models such as U Net and Mask R CNN and classification systems, such as VGG 16. This research discusses how AI is utilized to analyze radiography images and salivary biomarkers and classify diseases. It explores the influence of AI on treatment planning and outcome prediction. The ethical implications of AI in periodontology are also discussed, underscoring the significance of data confidentiality and protection. Periodontology can be revolutionized as AI may improve the diagnostic capability and facilintate highly individualized treatment methods to enhance the general quality of the treatment process.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 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 · 5.428 Zit.