Radiology AI is inaccurate due to lack of diversity of training and test data. AI providers currently invest up to a year or up to EUR 300 per image in the acquisition and processing of data (e.g. lung CTs with tumours for the early detection of lung cancer). RYVER. AI is developing generative AI to enable radiology AI providers to create diverse training and test datasets >10x faster and at 10-20% of current cost.
