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The AI-powered solutions have a massive potential in healthcare. Computers equipped with software based on convolutional neural networks are better at detecting skin cancer than experienced dermatologists, and Deep Learning beats radiologists in diagnosing pneumonia.
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Artificial Intelligence (AI) can bring more benefits to healthcare than to any other industry. However, until recently the progress here has been slower than in other fields - such as finance or e-commerce. Luckily, this has changed lately. With significant investments, we can see an outburst of machine learning applications that should lead to medical revolutions in many fields.
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In healthcare, getting the diagnosis right – and getting it in time – is key to any successful treatment. It’s a matter of utmost importance, as revealed in the research on postmortem examinations: diagnostic errors are responsible for about 10% of patient deaths in total. The study also suggests that these errors contribute to 6-17% of all adverse events in hospitals.
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Peter John and Steve Dailey are founders of Helpr, a facilitating platform that aims at improving the personal care services market in the UK. Helpr connects care workers directly with people looking for their services. The providers earn up to 66% more than in the traditional British care system, while the clients pay up to 20% less for their services. The project is run as a social enterprise and prioritizes quality of service over profit. Peter and Steve told us how they business has been going.
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Eric Spery is a career Java developer and long time IT manager. He's senior vice president at My Dobot, a San Francisco / Denver based startup developing a mobile finance management tool. The company was founded by three former industry insiders who had seen the wizard behind the curtain, and wanted to create a better way forward – because everyone has the right to financial health. Read the interview in which we asked Eric why they decided to work with remote teams and where My Dobot is now.
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