Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Machine learning in orthodontics: Transforming Invisalign treatment planning through precision, interpretability, and ethical practices
0
Zitationen
2
Autoren
2025
Jahr
Abstract
This research advances the precision of orthodontic treatment predictions significantly and pioneers the ethical application of AI in orthodontic care. By improving model transparency and accountability, the study cultivates trust among stakeholders and enhances the overall effectiveness and satisfaction associated with treatment. This work sets a new benchmark for data-driven, patient-centric orthodontic care using a patient dataset from Thailand.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.357 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.221 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.640 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 · 5.482 Zit.