Abstract
The growing influence of artificial intelligence on radiology not only leads to afundamental change in the way diagnoses are made but also creates awealth of additional information. Many programs correlate the parameters of image evaluation with the results of histological, molecular biological and genetic examinations and from these they derive therapeutic and prognostic statements that are intended to serve the planning of individual precision medicine. This information is included in the findings report and is therefore also fully available to the patient; however, the information takes no account of influencing factors, such as the time lag between diagnosis and start of treatment, comorbidities as well as the availability and tolerability of drugs. It is foreseeable that the supplementary statements of the expert systems will considerably influence the discourse between doctor and patient.
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