The project is being developed at an institution in Pavia
A project developed in Pavia, Italy used artificial intelligence (AI) software to read an MRI and provide rapid diagnosis, as well as monitoring, of rare neuromuscular diseases.
Accurate information about the properties of pathological tissues can be obtained in up to 10 seconds.
The research project was developed at the Mondino Foundation by PhD students of the BioData Science Center, Leonardo Barzaghi and Raffaella Fiamma Cabini, and with the coordination of Professor Silvia Figni.
The two researchers investigated the development of ‘machine learning’ and ‘deep learning’ algorithms for the prediction of quantitative biomarkers of musculoskeletal diseases. While Barzaghi focused on clinical images, Cabini worked with preclinical ones.
“To support diagnoses and increase the quality of high-resolution anatomical images obtained through magnetic resonance imaging, techniques have been developed in recent years that allow the quantification of the physical properties of pathological tissues,” explains Barzaghi.
“The use of more evolutionary artificial intelligence models today allows us to speed up the acquisition of quantitative pathological information, such as, for example, those relating to the amount of inflammation, atrophy and the percentage of fat. Thanks to neural networks, we can obtain images in seconds, reducing the time required with standard methods, quantifiable in hours,” he explains.
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Source: Terra
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