As artificial intelligence increasingly influences decision-making in health care, its impact depends on how well it supports clinicians on the front lines. Sylvester Tafirenyika, an AI and machine-learning engineer, is focused on building tools designed to improve health care outcomes and reduce avoidable hospital readmissions. At the center of his current work is a patented AI system designed to help hospitals reduce avoidable readmissions. It focuses on 10 leading conditions associated with hospital readmissions: heart disease, cancer, stroke, COPD, Alzheimer’s disease, diabetes, kidney disease, liver disease, respiratory infections and trauma. Tafirenyika said his approach to AI prioritizes privacy, reliability and clarity in health care environments where decisions carry serious consequences.

Source: The North Africa Journal January 18, 2026 19:32 UTC