The burden of cancer can be reduced by prevention, early detection and appropriate treatment with innovative technologies playing a major role in the procedures. Most of the techniques, however, require trained clinical specialists for interpretation and diagnosis that can be an obstacle for implementation on a large scale. The ongoing artificial intelligence (AI) revolution has tackled previously unsolvable analytic tasks and enabled automatic data interpretation that could address this challenge.
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