# Nigerian AI Scientist Launches MRI Software Cutting Scan Time by 90%

> Nigerian AI scientist Mary-Brenda Akoda's GenMRI software cuts MRI scan time by 90% to address global healthcare delays.
- Title: Nigerian AI Scientist Launches MRI Software Cutting Scan Time…
- Summary: Nigerian AI scientist Mary-Brenda Akoda's GenMRI software cuts MRI scan time by 90% to address global healthcare delays. Mary-Brenda Akoda's GenMRI AI…
- Keywords: mary-brenda akoda, genscan ai, mri, nigeria, genmri, ai medical imaging, healthcare access, stroke diagnosis, cancer diagnosis, news, world, politics
- Source: Allafrica — https://allafrica.com/stories/202610140668.html
- Published: 2026-10-14T23:49:25+00:00
- Read time: 1 min
- Topics: mary-brenda akoda, genscan ai, mri, nigeria, genmri, ai medical imaging, healthcare access, stroke diagnosis, cancer diagnosis, news, world, politics
## Mary-Brenda Akoda
Nigerian AI researcher Mary-Brenda Akoda, a Google DeepMind Scholar and ex-Microsoft engineer, founded GenScan AI.
## GenMRI Software Launch
Akoda plans to roll out her AI medical imaging software GenMRI in Nigeria and the UK by late 2027 to reduce MRI scan times globally.
## 90 Percent Faster Scans
GenMRI cuts MRI scan time from 20 minutes to two minutes and one hour to six minutes without new hospital equipment.
## Healthcare Impact
The software reduces patient backlogs, repeat scans, sedation costs, and improves access for elderly, children, and infants.
## Validation Process
GenMRI was tested on 8,800 MRI images and validated with a UK radiologist in a blinded assessment.
## Diagnostic Accuracy
GenMRI images scored diagnostically equivalent to conventional MRI images in all assessed cases, with 99.7 percent similarity.
## Real-World Application
The software cuts scan time by up to 90 percent for cardiac, knee, and other MRI types, outperforming state-of-the-art models.
## Key takeaway

Mary-Brenda Akoda's GenMRI AI software reduces MRI scan time by up to 90% using existing machines, helping hospitals cut patient backlogs and improve critical care access.