A public health expert, Dr. Chinyelu Uzoma, has emphasized the need for the adoption of Artificial Intelligence (AI) in the early detection and preventive care of non-communicable diseases (NCDs) such as hypertension and cancer.
While speaking with journalists in Lagos on Saturday, Uzoma noted that Northern Nigeria records some of the highest mortality rates from NCDs, largely due to delayed diagnoses and inadequate healthcare access.
She explained that the Emerging Technology for Health Initiative, which she leads, employs a hybrid model that integrates machine learning with community health workers’ expertise to identify at-risk populations early, even in remote areas.
“The system analyses data from portable diagnostic devices such as handheld monitors and testing kits used during village outreaches,” Uzoma said.
“The machine learning then cross-references this information with local dietary habits, family histories, and environmental factors to predict health risks.”
Uzoma revealed that the initiative has screened a group of people in Northern Nigeria, identifying 18 percent as high-risk for cardiovascular conditions.
She urged policymakers to recognize the economic and social toll of NCDs and to support AI-driven healthcare initiatives.
“NCDs drain economies and fracture families. Investing in AI isn’t just about technology, it’s about equity. Northern Nigeria’s health disparities demand urgent, innovative action,” Uzoma stated.
