An artificial intelligence-powered medical imaging technology that could reduce magnetic resonance imaging (MRI) scan time by up to 90 per cent has been unveiled in Lagos, raising prospects of shorter waiting times and increased access to diagnostic services.
The technology, GenScanAI, developed by Mary-Brenda Akoda, winner of the 2026 Nigeria Prize for Science and Innovation, is designed to speed up MRI image reconstruction and improve image quality without requiring hospitals to purchase new MRI hardware.
Akoda presented the innovation to medical practitioners, researchers, academics and technology stakeholders at Vibranium Valley, Ikeja, Lagos, on Tuesday.
The technology could enable hospitals and diagnostic centres to examine more patients with existing MRI equipment, potentially easing pressure on facilities and supporting faster diagnosis and treatment.
However, its benefits in routine healthcare will depend on appropriate clinical evaluation and validation.
Speaking at the event, the General Manager, External Relations and Sustainable Development at Nigeria LNG Limited (NLNG), Sophia Horsfall, said the innovation addressed the growing demand for diagnostic services.
She said the time required for MRI examinations could delay patients’ access to diagnostic services and limit the number of people healthcare facilities could attend to.
“Medical imaging plays a critical role in diagnosis and treatment, but the time required for MRI examinations can create delays for patients and limit the number of people healthcare facilities can serve,” Horsfall said.
She added that GenScanAI demonstrated how artificial intelligence and computing could improve the efficiency of existing healthcare infrastructure.
According to the organisers, the technology could also accommodate patient movement and improve image quality, although its performance would need to be established through clinical assessment.
Horsfall said the public presentation was intended to connect the award-winning innovation with healthcare professionals and researchers who could assess its potential applications.
Akoda emerged as the winner of the 2026 prize after more than 230 entries were evaluated. The competition focused on innovations in artificial intelligence, information and communications technology, and digital technologies for development.
NLNG facilitated the presentation as part of efforts to promote engagement between scientific innovators and stakeholders who could help translate research into practical applications.