The system is called Mafal Medical Intelligence Explorer (AMIE) and was built on the basis of the Gemini 2.0 flash language model, which can process text and images.
Amie is trained to recognize skin diseases, interpret ECG and analyze laboratory data. In the tests, the system worked with ordinary photographs, PDF files and test results, which made it a universal tool for remote diagnosis.
In order to verify the accuracy of artificial intelligence, the team found 105 simulated with the participation of 25 actors depicting patients. In any case, Amie and real therapists made photographs and text -based diagnoses and independent experts evaluated their accuracy. On average, AI showed higher results than doctors, especially in complex pictures.
However, developers will need additional tests for the mass use of AMIE.
Source: Ferra
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