While the use of artificial intelligence (AI) in radiology eases workflows, it may also lead to a better and more precise understanding of disease. Predicting the course of cancer from imaging data could become a part of the clinical routine in the next few years.
Many experts believe that the increasing use of AI in radiology will fundamentally change the interpretation of medical images. But which scenarios are realistic and tangible? A general idea is that AI-based image processing may not only accelerate and ease standard reading workflows but could also lead to a more exact understanding of disease. One of the most fascinating perspectives lies in the prognosis of disease progression based on the hither-to unused imaging information.
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