Registration certificate of a medical device

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JoyuntoExpate
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Joined: Sat Feb 11, 2023 7:04 am

Registration certificate of a medical device

Post by JoyuntoExpate »

In Moscow the organizers of the experiment were ready for the fact that all medical ML products are still far from ideal and often require significant refinement, additional training and calibration. In the regions, there is much less scientific and experimental interest in ML products, they are waiting for finished solutions. In addition, skepticism and distrust of doctors in AI in the regions is much higher. That is, only developers with clinically proven systems will be able to work successfully in the regions. Sale and operation of ML-solutions in the field of healthcare can be carried out only after obtaining a registration certificate for a medical device issued by Roszdravnadzor.

Despite the growing reliance on protein biomarkers for cancer diagnosis and the consumer email list bias in favor of detecting prostate and breast cancer, machine learning provides a significant ( – ) improvement in the accuracy of predicting cancer predisposition, recurrence, and mortality. In , a team of IBM researchers published a study on a new AI model that can predict the development of malignant breast cancer in patients over the next year. This is the first algorithm that takes into account not only images, but also the patient's health history. The model correctly predicted the development of breast cancer in of cases, and correctly interpreted of non-cancerous lesions.

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Predicting predisposition to cancer (that is, risk assessment) - the likelihood of developing any type of cancer before the onset of the disease; prognosis of cancer recurrence - the likelihood of recurrence of cancer after a visible cure for the disease; survival prognosis - to predict the outcome (life expectancy, survival, progression, tumor drug sensitivity) after diagnosis. Personalized Cancer Treatment Cancer patients need complex individual complex treatment. AI-based solutions can transform not only diagnostics, but also the field of patient care: Genomic characterization of tumors AI techniques are being used to identify gene mutations from tumor images instead of using traditional genomic sequencing.
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