Artificial Intelligence is the combination of algorithms proposed with the purpose of creating machines that have the same capabilities as the human being. The idea is to achieve systems that think like humans, using rational logical thinking, and that act like humans, performing tasks in a similar way to how people do, making decisions and solving problems. In relation to health, through artificial intelligence, it is possible to generate patterns that help diagnose diseases based on symptoms, medical records, test results, genetic factors and medical guidelines. With artificial intelligence, models can be built and conclusions drawn , based on all the information, to support the clinician in his decision-making to prevent diseases, improve and save lives.

Artificial intelligence makes it possible to manage the tests carried out in the Clinical Analysis Laboratory faster and with better quality, reducing errors and improving both the biosafety of professionals by reducing the handling of samples and traceability by allowing them to know at any moment the status of each sample. It is also possible to schedule in advance that when an abnormal result is obtained, additional studies are carried out to confirm a diagnosis. Processes have been automated, allowing laboratory professionals to focus on research or other projects that allow progress in new areas instead of carrying out routine tasks. These technological advances in clinical analysis laboratories affect the organizational model. Young scientists will face the laboratory of the future, and perhaps artificial intelligence will be the main protagonist.