At a glance from a doctor, blood tests cannot be analyzed thoroughly and reliably. Therefore, a dedicated artificial intelligence system is required.
There are ten common categories of blood tests, each with many subtests. There are, of course, unusual examinations where the doctor's attention is likely to be increased. Although doctors have a lot of experience, it's impossible not to make mistakes. However, the normal range of values appears in the test margin. This is still very partial and sometimes not fully understood information.
The ability to carefully read dozens of blood and urine tests is not trivial, especially since there are connections between the tests. In my case, doctors at a large hospital did not notice that my liver enzymes were six times higher than the high threshold, and so I lost years of terrible liver damage. I believe that errors in deciphering blood tests are a matter of routine.
The best solution is analysis using a dedicated AI system for blood and urine tests.
Link: Artificial intelligence in medicine is vital to optimizing healthcare.
A complete artificial intelligence system for healthcare is in the long-term aspiration and vision. At the same time, the component of urine and blood tests may be the first in the branch of diagnosis due to the availability of data and the ability to perform accurate statistical analysis.
- Artificial intelligence's great advantage is data processing, and the project can be put at the doorstep of Microsoft and Google. The amount of blood and urine tests is enormous, and detailed analysis with links between tests, symptoms, and diseases cannot be performed without artificial intelligence.
Think of the output of a dedicated AI system for blood and urine tests that will give you an accurate explanation of the test results, possible anomalies, and recommendations for action. The burden on doctors will be reduced, many mistakes will be prevented, and tedious searches on the Internet about the meaning of each test will become unnecessary.
