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Researchers at UNC have developed an AI model for ultrasounds that aims to bridge the gap between medical professionals and patients.
By Zora Hollie
Published Tuesday, Sept. 10, 2024
 

Dr. Jeff Stringer, a professor at the UNC School of Medicine and lead author, conceived the idea while working as an obstetrician in Lusaka. Juan Prieto, who helped create the AI model, said Stringer wanted to use AI to bridge the gap between experts and non-experts in limited resource settings like middle-income countries.Researchers from the UNC Institute for Global Health and Infectious Diseases and the University of Zambia collaborated on a study showing that AI-enabled ultrasound devices can accurately estimate gestational age. The device, portable and battery-operated, uses an AI tool integrated with the Butterfly iQ+ handheld ultrasound device.

• AI-Enabled Ultrasound Device: Portable and battery-operated ultrasound device with an AI tool integrated into the Butterfly iQ+ handheld ultrasound device.
   
• Accurate Gestational Age Estimation: The device can accurately estimate gestational age using data from 400 individuals with first-trimester pregnancies in Lusaka and Chapel Hill.
   
• AI-Powered Ultrasound: An AI device enables healthcare workers to perform blind sweeps and estimate gestational age by interpreting ultrasound videos.
   
• Real-World Impact: Developers expressed satisfaction with the technology’s positive impact on people’s lives, emphasizing its practicality and accessibility.

Read more about it here!


Weekly Newsletter by,
 
BioMedical Imaging Group at UIC.