New class of fractals could make for speedy whole-body MRI

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Courtesy of the University of Queensland. 

An Australian researcher has said it could be possible to speed up full-body MRI by four times while controlling costs and maintaining quality—all thanks to the discovery of a new class of fractals. Shekhar Chandra, PhD, with the University of Queensland, believes “Chaotic Sensing,” an approach to sparse imaging using fractals, could help MRI machines to quickly identify necessary imaging information while discarding redundant data.

‘Hive mind’ AI connects groups of radiologists, outperforms specialists or AI alone

A small group of experienced radiologists, connected by machine learning algorithms that enable them to work together as a “hive mind,” can achieve higher diagnostic accuracy than individual radiologists or machine learning algorithms alone, according to new research presented on Sept. 10 at the Society for Medical Imaging Informatics in Medicine (SIIM)’s Machine Intelligence in Medical Imaging conference.