ML-services focus the doctor's attention on the most insignificant signs of consumer email list pathology - this can help with early cancer diagnosis, especially with large streams of routine studies, when a specialist can "blur" his eyes. The accuracy and sensitivity of artificial intelligence is constantly growing. In , the developments of Philips (LDCT of the chest, lung cancer), Botkin AI (CT of the chest, lung cancer), Celsus and Lunit (mammography, breast cancer) were used to diagnose oncological diseases in Russia. In the future, oncological testing may be expanded to include services for the detection of malignant brain tumors. Before connecting services to the main circuit of the Unified Radiological Information Service (ERIS.

Which is used by Moscow radiologists, ML solutions are internally validated on independent data arrays collected and structured by the Center for Diagnostics and Telemedicine (reference sets of anonymized studies previously marked up by radiologists) in a test circuit service. At the moment, more than datasets of radiation diagnostics studies have been prepared.?solution, trained and tested by the developer on a specific data set, will be able to perform well in new conditions. AI Mistakes: Who to Blame for Misdiagnosis Every year , people die in Russia due to mistakes and unprofessionalism of doctors . In America, this is one in three deaths.