NLNG Presents AI Innovation to Speed Up MRI Scans
Nigeria LNG Limited has presented GenScan AI, an artificial intelligence-powered medical imaging innovation developed by Mary-Brenda Akoda, winner of the 2026 Nigeria Prize for Science and Innovation sponsored by NLNG. The technology uses the C-MORE algorithm to reconstruct MRI images through a one-step framework and has the potential to reduce scan acquisition times by up to 90 per cent without requiring new MRI hardware, while maintaining or improving image quality. The innovation could enable healthcare facilities to examine more patients, shorten waiting periods and maximise existing MRI equipment, particularly in parts of Nigeria where access to advanced diagnostic services remains limited. Speaking during the presentation in Abuja, NLNG General Manager, External Relations and Sustainable Development, Sophia Horsfall, said the company’s interest extended beyond recognising an innovative idea to ensuring that scientific research could translate into practical benefits for society. She stressed the importance of accurate diagnosis to effective treatment and said the presentation provided an opportunity to consider what would be needed to move GenScan AI towards practical application.
A member of the Prize’s Advisory Board, Professor Barth Nnaji, said GenScan AI stood out because of its scientific strength and potential to address a significant healthcare challenge, while emphasising the need for clinicians and other stakeholders to be involved in determining how it could be safely and effectively developed and deployed. Akoda emerged as the 2026 winner from a record 237 entries submitted under the theme, “Innovations in Artificial Intelligence, ICT and Digital Technologies for Development.” Her selection followed an independent assessment by judges chaired by Dr Omobola Johnson and subsequent endorsement by the Advisory Board. She is the first woman and first millennial to win the Prize as an individual recipient and is scheduled to receive the US$100,000 award at the Grand Award Night on October 9, 2026. While GenScan AI could improve the use of existing MRI scanners, further testing and validation will be necessary to establish its safety, reliability and suitability for different diagnostic applications before routine clinical use.
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