Develop AI-based multi-disease diagnostic models for tuberculosis, malaria, leukemia, diabetes, and hypertension.
Implement multi-modal data processing using blood smear, X-ray, ECG, and lab test data.
Conduct real-world validation and pilot deployment in urban hospitals and rural clinics.
Develop insurance-backed AI diagnostics to enhance affordability for low-income populations.
Implement telemedicine subscription models for continuous patient monitoring and expert consultations.
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