Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide Program

INTRODUCTION: Deep learning (DL) for screening diabetic retinopathy (DR) has the potential to address limited healthcare resources by enabling expanded access to healthcare. However, there is still limited health economic evaluation, particularly in low- and middle-income countries, on this subject...

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Detalles Bibliográficos
Autores principales: Srisubat, Attasit, Kittrongsiri, Kankamon, Sangroongruangsri, Sermsiri, Khemvaranan, Chalida, Shreibati, Jacqueline Baras, Ching, Jack, Hernandez, John, Tiwari, Richa, Hersch, Fred, Liu, Yun, Hanutsaha, Prut, Ruamviboonsuk, Varis, Turongkaravee, Saowalak, Raman, Rajiv, Ruamviboonsuk, Paisan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011252/
https://www.ncbi.nlm.nih.gov/pubmed/36841895
http://dx.doi.org/10.1007/s40123-023-00688-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011252/
https://www.ncbi.nlm.nih.gov/pubmed/36841895
http://dx.doi.org/10.1007/s40123-023-00688-y

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