ABSTRACT
When the correct diagnosis or selection of therapy is made by algorithms by a machine, decisions for doctors, patients, and experts can become non-transparent, leading to the breakdown of relationships. Asking the machine to explain its algorithms is essentially a detailed understanding of the mathematical and statistical details. At this stage, the combined work of state informatics and statistics specialists and doctors and medical specialists emerges. This book chapter focuses on how and with what studies explainable AIs (XAIs) explain the decisions they make in the biomedical environment to experts.
