CHILDSTAR: CHIldren Living With Diabetes See and Thrive with AI Review

BACKGROUND: Artificial intelligence (AI) appears capable of detecting diabetic retinopathy (DR) with a high degree of accuracy in adults; however, there are few studies in children and young adults. METHODS: Children and young adults (3-26 years) with type 1 diabetes mellitus (T1DM) or type 2 diabet...

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Detalles Bibliográficos
Autores principales: Curran, Katie, Whitestone, Noelle, Zabeen, Bedowra, Ahmed, Munir, Husain, Lutful, Alauddin, Mohammed, Hossain, Mohammad Awlad, Patnaik, Jennifer L, Lanoutee, Gabriella, Cherwek, David Hunter, Congdon, Nathan, Peto, Tunde, Jaccard, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563496/
https://www.ncbi.nlm.nih.gov/pubmed/37822362
http://dx.doi.org/10.1177/11795514231203867

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563496/
https://www.ncbi.nlm.nih.gov/pubmed/37822362
http://dx.doi.org/10.1177/11795514231203867

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