The healthcare industry has a lot of hope for machine learning solutions across patient care. However, there are many barriers to widespread adoption keeping machine learning from being implemented into clinical practice.
Blockchain technology could have many exciting applications in radiology and also facilitate the development of artificial intelligence (AI) algorithms. But key hurdles remain in the way of adoption of the technology, said Dr. Woojin Kim, who recently spoke in a webinar held by the Society for Imaging Informatics in Medicine (SIIM). By Erik L. Ridley,...
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