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

• Egile Nagusiak: Talat Zehra (Egilea), Anil Parwani (Egilea), Jamshid Abdul-Ghafar (Egilea), Zubair Ahmad (Egilea)
• Formatua: Liburua
• Argitaratua: BMC, 2023-05-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Abstract 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 d...