2.6. How to Read Test Results
To properly understand test results, it is important to know how to interpret the data obtained and which indicators are key. The primary step is comparing the obtained values with reference ranges established for each type of test. These ranges indicate normal substance levels or functions in the body and help identify deviations. However, interpretation is not limited to comparison with standard boundaries. It is necessary to consider the individual characteristics of the patient, such as age, sex, medical history, and current symptoms.
Artificial intelligence greatly simplifies this process by automatically analyzing results and detecting potentially dangerous deviations. Modern data processing algorithms use complex mathematical models to determine the risk of developing certain diseases or the need for additional tests. For example, with high cholesterol levels, AI can provide not only an interpretation of this indicator but also correlate it with the overall health status of the patient, offering recommendations on lifestyle or medication.
Another important function of AI is the identification of hidden relationships between various tests, enabling prevention of possible problems before symptoms appear. For the patient, this means that test results become more understandable and accessible, and the risk of errors in interpretation is significantly reduced.
Overall, the combination of automated systems and professional medical evaluation ensures more accurate diagnosis and a comprehensive understanding of health status, promoting timely intervention and improving quality of life.