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Retrieval augmented generation in dentistry: potentials, applications, and future directions

Retrieval Augmented Generation offers a robust framework for developing reliable and evidence- aligned artificial intelligence in dentistry. By integrating external knowledge sources with the generative capabilities of large language models, RAG addresses key limitations of standalone LLMs, includin...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Tahereh Firoozi, Rojin Adabdokht, Hollis Lai
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Frontiers Media S.A. 2026-02-01
Rangatū:Frontiers in Dental Medicine
Ngā marau:
Urunga tuihono:https://www.frontiersin.org/articles/10.3389/fdmed.2025.1760990/full
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