Diagnosis of temporomandibular disorders using artificial intelligence technologies: A systematic review and meta-analysis

BACKGROUND: Artificial intelligence (AI) algorithms have been applied to diagnose temporomandibular disorders (TMDs). However, studies have used different patient selection criteria, disease subtypes, input data, and outcome measures. Resultantly, the performance of the AI models varies. OBJECTIVE:...

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Detalles Bibliográficos
Autores principales: Jha, Nayansi, Lee, Kwang-sig, Kim, Yoon-Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387829/
https://www.ncbi.nlm.nih.gov/pubmed/35980894
http://dx.doi.org/10.1371/journal.pone.0272715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387829/
https://www.ncbi.nlm.nih.gov/pubmed/35980894
http://dx.doi.org/10.1371/journal.pone.0272715

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