Application of machine learning and artificial intelligence in the diagnosis and classification of polycystic ovarian syndrome: a systematic review

INTRODUCTION: Polycystic Ovarian Syndrome (PCOS) is the most common endocrinopathy in women of reproductive age and remains widely underdiagnosed leading to significant morbidity. Artificial intelligence (AI) and machine learning (ML) hold promise in improving diagnostics. Thus, we performed a syste...

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Detalles Bibliográficos
Autores principales: Barrera, Francisco J., Brown, Ethan D.L., Rojo, Amanda, Obeso, Javier, Plata, Hiram, Lincango, Eddy P., Terry, Nancy, Rodríguez-Gutiérrez, René, Hall, Janet E., Shekhar, Skand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542899/
https://www.ncbi.nlm.nih.gov/pubmed/37790605
http://dx.doi.org/10.3389/fendo.2023.1106625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542899/
https://www.ncbi.nlm.nih.gov/pubmed/37790605
http://dx.doi.org/10.3389/fendo.2023.1106625

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