AI Clinical Screening Models Development Project

The AI Clinical Screening Models Development Project focuses on building high-performing artificial intelligence solutions that support early diagnosis and enhance clinical workflows. The initiative includes the creation of computer vision models for breast cancer mammography screening, neonatal retinopathy image detection, and HIV-related clinical decision support.

Sapashe’s team engineered multiple AI architectures, developed training datasets, performed model benchmarking, and ensured clinical-grade accuracy through iterative validation. These models were designed to integrate into screening platforms and clinical workflows, enabling healthcare providers to identify high-risk cases rapidly and prioritize timely interventions.

The project strengthens diagnostic precision, supports overburdened clinical systems, and contributes to improved outcomes across maternal health, infectious disease care, and oncology programs.