Nigeria LNG Limited has unveiled an artificial intelligence-powered innovation that could cut magnetic resonance imaging scan times by up to 90 per cent without requiring new MRI equipment.
Known as GenScan AI, the technology was developed by Mary-Brenda Akoda, winner of the 2026 Nigeria Prize for Science and Innovation sponsored by NLNG.
The innovation was presented to stakeholders in Abuja as efforts intensify to improve access to timely diagnostic services in Nigeria.
According to NLNG, GenScan AI uses the C-MORE algorithm to reconstruct MRI images through a one-step process, potentially reducing scan acquisition times while maintaining or improving image quality.
The technology could allow hospitals to examine more patients with existing MRI scanners, reduce waiting times and improve the use of expensive diagnostic equipment.
NLNG’s General Manager, External Relations and Sustainable Development, Sophia Horsfall, said the company wanted research supported by the prize to translate into practical benefits for Nigerians.
“Our interest goes beyond recognising an outstanding idea. We want to see scientific research make a practical difference in people’s lives,” Horsfall said.
She said GenScan AI offered the prospect of faster medical imaging and more efficient use of existing equipment, but added that further work was required to turn the innovation into practical clinical application.
Professor Barth Nnaji, a member of the Prize’s Advisory Board, said Akoda’s entry stood out because of its scientific strength and potential to address a pressing healthcare need.
He stressed the need for engagement with clinicians and other stakeholders to establish how the technology could be safely and effectively deployed.
Akoda emerged as the winner from a record 237 entries submitted under the theme, “Innovations in Artificial Intelligence, ICT and Digital Technologies for Development”.
She is the first woman and first millennial to win the prize as an individual recipient. She is expected to receive the $100,000 award at the Grand Award Night on October 9.
MRI scans are widely used to diagnose conditions affecting the brain, spine, joints and internal organs, but examinations can be lengthy, while the cost of acquiring and maintaining scanners limits access in many parts of Nigeria.
GenScan AI would still require further testing and validation before routine clinical use, including assessment of its safety, reliability and suitability for different diagnostic applications.
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