Skychain: AI for Respiratory Diseases Recognition

Machine Learning in Healthcare explained by A.Criminisi from Microsoft Research team. Be aware — this video is an hour length.

The problem

These are stained breast cancer slides. Even for an experienced specialist, the distinction between trouble spots (arrows) and regular growths is slight. Photo Credit: www.extremetech.com
Causes of death — diseases of the respiratory system, residents, 2014
Source: Eurostat

The solution

State of the art (sometimes cutting edge) refers to the highest level of general development, as of a device, technique, or scientific field achieved at a particular time. It also refers to such a level of development reached at any particular time as a result of the common methodologies employed at the time.

Learning rate graph
The neural network accuracy graph
The doctors used the blue squares to localize the disease. The neural networks localized the diseases using heat maps.
Skychain developers talk about the AI for Respiratory disease recognition.

The future

To train machine learning algorithms one needs massive and clean data sets, with minimum biases. One needs also to keep in mind data privacy issues when it comes to harvesting personal data, particularly in light of the General Data Protection Regulation.

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Blockchain infrastructure aimed to host, train and use artificial intelligence (AI) in healthcare. Our website: https://skychain.global/

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Skychain Official Channel

Skychain Official Channel

Blockchain infrastructure aimed to host, train and use artificial intelligence (AI) in healthcare. Our website: https://skychain.global/

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