A suggested way forward for adoption of AI-Enabled digital pathology in low resource organizations in the developing world

Low- and middle-income countries (LMICs) represent a big source of data not only for endemic diseases but also for neoplasms. Data is the fuel which drives the modern era. Data when stored in digital form can be used for constructing disease models, analyzing disease trends and predicting disease ou...

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Detalles Bibliográficos
Autores principales: Zehra, Talat, Parwani, Anil, Abdul-Ghafar, Jamshid, Ahmad, Zubair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193335/
https://www.ncbi.nlm.nih.gov/pubmed/37202805
http://dx.doi.org/10.1186/s13000-023-01352-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193335/
https://www.ncbi.nlm.nih.gov/pubmed/37202805
http://dx.doi.org/10.1186/s13000-023-01352-6

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