Artificial intelligence has proved remarkable abilities in diagnosing various conditions and has outperformed specialists in many fields. Russia's Kommersant newspaper reported that a competition was held between an artificial intelligence system designed for medical diagnosis and a group of experienced doctors from various clinics and hospitals in Moscow.
The doctors were given radiographies and analysis, and were asked to verify whether the patient had a tumor or arrhythmia. The same data was entered into the automated system, which gave a more accurate result.
The head of a technical group working on artificial intelligence technologies said: "Artificial neural networks are able to see patterns that humans cannot easily see, so these networks define the areas to focus on during diagnosis. The size of nodal formations of the tumor, for example, may be very small, and often the robot will identify it and guide the doctor to the area he has to focus on."
However, experts in the medical and technical fields warned from the errors that may occur in the work of artificial intelligence, and explained that doctors' reliance on it would lead to a decline in their experience.
However, specialists in the development of artificial neural networks assured doctors that this technical development would not be a substitute for them, but would be helpful to them, and will help them reduce the rate of error in diagnosis.
It is worth noting that a team of technical specialists and doctors are currently working on the design of a unified diagnostic system in Russia that depends on artificial intelligence.
The main idea behind the project is to pump data into this system with information on the most accurate details of diseases, as well as data on the pathology of the patient.
The system will be trained on diseases' diagnosis. It will not be confined to a specific hospital or residential area, but will be a unified network connecting various medical institutions in Russia.
The system is expected to achieve a quantum leap in the medical diagnosis field, with more speed and accuracy.
