Predict epidemics and diseases with AI - Artificial Intelligence

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Predictions through artificial intelligence

Nadja Parfenov

Nadja Jürgens (born Parfenov)
Head of marketing
February 2nd, 2020

Catastrophes, epidemics, diseases and much more can be predicted with artificial intelligence.

The early prediction of the coronavirus pandemic through artificial intelligence by the Canandian company BlueDot is a good example of how AI can be used for making predictions. BlueDot had already warned its customers, several days before the World Health Organization (WHO), about the outbreak of the virus. This is possible by teaching and training the AI algorithm with health-relevant data from previous comparable epidemics/pandemics. Then the newest and most current data can be observed and the similarities and parallels analyzed. Data can come from various sources: news platforms, internet blogs and comments, airlines, animal diseases etc. AI can predict when and where an epidemic most-likely will break out. The AI technology behind it is digital language processing and machine learning.

Mit KI Epidemien vorhersehen

Predict diseases with AI

The use of AI is in no way limited to only predicting disasters. Looking at each and every one of us individually, AI can predict our potential diseases, what they might be and when we are most likely to contract them. This can be formulated from our medical data. Here too, the derivation is based on past medical data from other people with similar lifestyles, previous illnesses, family disposition, etc. This could help us target and fend off our personal potential future diseases and be healthier in old age. A nice idea, but it requires a lot of data. That is the greatest sticking point, but it can be overcome. Think about the digital health records, health apps, Fitbit, smart watches, and other measurement and documentation tools that we use in everyday life.

Detect diseases with AI

Of course, AI can identify already-existing diseases. This is particularly interesting in the case of rare diseases in order to shorten patient suffering by detecting the disease earlier. As an aid for doctors, AI algorithms can also determine pathologies from medical image data and provide initial information. This can be a huge relief for doctors and lead to an improvement in patient care. In this area, is working closely with doctors and clinics to create AI solutions that are integratable and applicable to the everyday operations of the clinic. More information on the topic can be found here.

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