Artificial Intelligence in Radiology
Basically, AI is a set of learning algorithms that are fed with a large data set (e. g. CT images), which are categorized by human input (e. g. by diagnosis). After several learning rounds the AI is then able to identify a given disease or condition (e. g. a fracture) with a high reliability (usually above 99.9 %). The precision can even be increased if additional data (e. g. symptoms) are added to the program. The medical expert may then confirm or correct the proposed diagnosis of the system. AI is a powerful tool that is about to change many facets of our modern lives.
Artificial Intelligence (AI) can help by reducing the workload of radiological staff in various fields in different ways. For instance, it can choose the optimal time for an appointment…
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