By Alex Ababio
KUMASI, Ghana — At the Ghana Medical Trust Fund’s headquarters in Accra, a quiet negotiation is underway that could reshape how millions of Ghanaians access specialized healthcare — or cement a two-tier system where the most advanced medical tools remain concentrated in the same few teaching hospitals that have historically served the urban elite.
In late September 2026, a delegation from the Kwame Nkrumah University of Science and Technology, led by Pro Vice-Chancellor Professor David Asamoah, visited the Trust Fund — known publicly as MahamaCares — to explore deploying artificial intelligence in Ghana’s healthcare system . The discussions centered on a pilot program that would use KNUST health facilities to test AI-driven solutions, including systems to support clinical decision-making and improve the Trust Fund’s internal operations .
At first glance, the partnership appears to be a straightforward story of academic research meeting public healthcare. But beneath the surface lies a more uncomfortable question: Can AI genuinely bridge Ghana’s healthcare divide, or will it simply give the same institutions better tools to serve the same people they have always served?
The Trust Fund’s Mandate — and Its Gaps
The Ghana Medical Trust Fund, established in 2025 as “MahamaCares,” was designed to address a specific failure: the National Health Insurance Scheme, while covering approximately 66% of the population, focuses primarily on curative care and leaves catastrophic non-communicable diseases — cardiovascular conditions, cancers, liver disease, renal failure — largely uncovered . President Mahama, speaking at the 79th World Health Assembly in Geneva in May 2026, described MahamaCares as ensuring that “specialised, high-cost care is not a privilege for just a few, but a right for all” .
Yet the Trust Fund’s needs assessment concluded bluntly: “the cost of inaction will be catastrophic” . The gap it was created to fill is enormous, and the resources it commands remain limited. This is the context in which KNUST’s AI proposal arrives — not as a luxury, but as a potential force multiplier for a fund under immense pressure to deliver.
What KNUST Brings — and What It Doesn’t
KNUST has genuine AI capacity. The university’s Responsible AI Lab, led by Professor Jerry John Kponyo, has developed rare disease detection models, sign language translation tools, and diagnostic systems designed for Ghanaian contexts . The university has also launched courses in AI for primary healthcare, developed with the Mastercard Foundation and the University of Toronto, explicitly targeting frontline health workers .
But there is a critical gap between developing AI tools and deploying them equitably. A 2026 study in Physica Medica found that Ghana’s imaging services — a prerequisite for most AI diagnostic applications — are heavily concentrated in Korle Bu Teaching Hospital and the 37 Military Hospital, with 58% of all imaging units located in Greater Accra and Ashanti regions alone . The study noted “very low PACS adoption outside major urban centres,” meaning most district facilities cannot even digitally store and retrieve medical images, let alone integrate AI .
This is the paradox at the heart of the KNUST-GMTF proposal. AI requires digital infrastructure, reliable connectivity, and trained personnel. The facilities that have these resources are already better off. The facilities that need AI most — rural clinics, district hospitals, health centres in the Upper East and Northern regions — are precisely those least equipped to use it.
The Global Pattern Ghana Risks Repeating
This pattern is not unique to Ghana. Globally, AI in healthcare has consistently gravitated toward well-resourced institutions, deepening rather than narrowing health inequities. A 2026 review of AI in medical imaging in Ghana noted that while AI can improve triage and prioritization in resource-limited settings, its benefits are contingent on “digital readiness” — which is “uneven across facility levels and regions” .
The Trust Fund’s mandate — to cover specialized care for Ghanaians who previously had no access — is fundamentally an equity mission. If its AI partnership with KNUST scales up at teaching hospitals while district facilities remain analog and disconnected, the Trust Fund will have built a faster, smarter pipeline for patients who already had access, while leaving the rest waiting.
The Voices That Matter Most
This is not an argument against AI. It is an argument for sequencing, transparency, and accountability. Dr. Belinda Nimako, Director of Policy, Planning, Monitoring and Evaluation at the Ministry of Health, has stated that “integrating AI into the health system presents an opportunity to enhance equity, improve efficiency, and strengthen resilience across healthcare delivery” . The question is whether “enhancing equity” means distributing AI equitably, or simply making the existing system more efficient for those it already serves.
The Ghana Health Service, which operates the district-level facilities that serve the majority of Ghanaians, is notably absent from the KNUST-GMTF discussions as reported. Until the people who run frontline health facilities have a seat at the table — and until there is a clear plan for extending digital infrastructure beyond the teaching hospitals — AI in Ghanaian healthcare risks becoming another technology that the poor hear about but never touch.
What Comes Next
The KNUST-GMTF partnership is still in exploratory stages. No pilot sites have been named. No timelines have been announced. No budget has been disclosed.
That is precisely why this story matters now. Once the pilot begins, once the systems are built and the data flows, the infrastructure choices embedded in this partnership will become invisible — baked into the architecture of Ghana’s healthcare system for years to come.
If the Trust Fund and KNUST want this partnership to be remembered for more than a press release, they must answer a simple question: Will AI in Ghanaian healthcare be built for the teaching hospital, or for the district clinic?