Magnetic resonance imaging (MRI) and computed tomography (CT) are high-tech and high-precision methods of radiation diagnostics that allow visualizing brain structures and detecting pathological changes in a fairly short scanning time. In the structure of routine examinations, the brain is the most frequent area for MRI and the second most frequent for CT examinations, and the time spent by radiologists on describing routine head pathology in the general spectrum of studies is palpable.
Therefore, the use of machine learning technologies is in high demand here.
The workshop will highlight the spectrum of brain pathology under investigation, the clinical need for AI solutions for radiologists, as well as existing working solutions and developments.
Speaker: Alexander Yuryevich Efimtsev, Ph.D.
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