Intel is developing a neural network that will detect brain tumors in the early stages
Transnational Intel Corporation has been developing a neural network that will have to detect brain tumors in the early stages. This will be done by the company's engineers and specialists from the University of Pennsylvania.
29 international medical and research institutions led by Penn Medicine will be involved in the development and training of artificial intelligence. They will download the images available with the initial stages of the disease and check how accurately the neural network will identify them using the technique of maintaining confidentiality, writes Hi-Tech.
The neural network was created according to the method of federal training — this will allow organizations to conduct training without exchanging patient data. It is assumed that its development will be completed before the end of the year, and the accuracy of determining brain tumors by the system is 99%.
“AI has great promise for the early detection of brain tumors, but it will need more data to reach its full potential. Using Intel software and hardware, we work with the University of Pennsylvania and a federation of 29 medical centers to promote the identification of brain tumors while protecting sensitive patient data,” said Jason Martin, chief engineer, Intel Labs.
Recently, Juul patented artificial intelligence, which helps people give up nicotine by controlling its consumption. The neural network controls the vape or electronic cigarette, controlling the amount of nicotine supplied, and also studying the user's habits for a long time.
29 international medical and research institutions led by Penn Medicine will be involved in the development and training of artificial intelligence. They will download the images available with the initial stages of the disease and check how accurately the neural network will identify them using the technique of maintaining confidentiality, writes Hi-Tech.
The neural network was created according to the method of federal training — this will allow organizations to conduct training without exchanging patient data. It is assumed that its development will be completed before the end of the year, and the accuracy of determining brain tumors by the system is 99%.
“AI has great promise for the early detection of brain tumors, but it will need more data to reach its full potential. Using Intel software and hardware, we work with the University of Pennsylvania and a federation of 29 medical centers to promote the identification of brain tumors while protecting sensitive patient data,” said Jason Martin, chief engineer, Intel Labs.
Recently, Juul patented artificial intelligence, which helps people give up nicotine by controlling its consumption. The neural network controls the vape or electronic cigarette, controlling the amount of nicotine supplied, and also studying the user's habits for a long time.
