Artificial Intelligence in Medicine: New Horizons for Diagnostics

However, the implementation of AI requires strict checks for safety, transparency of algorithms, and protection of personal data. The explainability of the results and the ability of clinicians to interpret the model’s conclusions are important. In the real world, AI does not replace doctors, but serves as a support tool. It is useful for the reader to consider real-life examples of application: early cancer diagnosis, X-ray analysis, and drug selection based on genomic information.