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6 AI Healthcare Solutions for Remote Patient Monitoring

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It's no secret that big tech companies like Amazon (AMZN), Microsoft (MSFT), and Alphabet (GOOG), the parent company of Google, are investing in digital healthcare. The market opportunity is pretty enticing when you consider that the U.S. alone spent $3.65 trillion on healthcare just last year. Google made the latest headline-grabbing move when it announced that it would buy wearables maker Fitbit (FIT) in a deal valued at $2.1 billion. Analysts have noted that the acquisition is part of the company's overall strategy to build an ambient intelligent system where Google is omnipresent. Another motive behind the purchase – pending regulatory approvals – is that Fitbit gives Google access to a treasure trove of healthcare data that it can feed to its London-based AI lab DeepMind or its life sciences subsidiary Verily, which is already collaborating on at least one AI healthcare device for remote patient monitoring.


6 AI Healthcare Solutions for Remote Patient Monitoring

#artificialintelligence

It's no secret that big tech companies like Amazon (AMZN), Microsoft (MSFT), and Alphabet (GOOG), the parent company of Google, are investing in digital healthcare. The market opportunity is pretty enticing when you consider that the U.S. alone spent $3.65 trillion on healthcare just last year. Google made the latest headline-grabbing move when it announced that it would buy wearables-maker Fitbit (FIT) in a deal valued at $2.1 billion. Analysts have noted that the acquisition is part of the company's overall strategy to build an ambient intelligent system where Google is omnipresent. Another motive behind the purchase – pending regulatory approvals – is that Fitbit gives Google access to a treasure trove of healthcare data that it can feed to its London-based AI lab DeepMind or its life sciences subsidiary Verily, which is already collaborating on at least one AI healthcare device for remote patient monitoring.


5 Ways Machine learning is Redefining Healthcare

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Machine learning (ML) is an application of artificial intelligence (AI) wherein the system looks at observations or data, such as examples, direct experience, or instruction, figures out patterns in data and predicts events in the future based on the examples that we provide. Machine learning is seeing more and more use across industries for various reasons: vast amounts of data are being captured and made available digitally; processing of large amounts of data has become cost-effective due to the increased computing power now available at affordable prices; and various open source frameworks, toolkits and libraries are available that can be used to build and execute ML applications. Specifically in healthcare, ML has led to exciting new developments that could redefine cancer diagnosis and treatment in the years to come. ML can increase access to treatment in developing countries which don't have enough specialist doctors that can treat certain diseases, it can improve the sensitivity of detection, add more value in treatment decisions, and it can help personalize treatment so that each patient gets the treatment that's best for them. In many cases they can even add to workflow efficiency in hospitals.


The Future of healthcare will be powered by AI and machine learning

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Backed by sleek devices and powered by intelligent software and apps, smartphones are shaping the future of healthcare. The latest development in medical apps is the use of artificial intelligence and machine learning to analyze data and offer a diagnosis within seconds. ResApp Health, a digital healthcare solutions company based in Australia, is developing an app that can diagnose respiratory conditions with a smartphone's microphone, which acts as a stethoscope, according to MobiHealthNews. The ResAppDx app applies specially developed machine learning algorithms to the sounds, including cough sounds, which automatically identify potential respiratory conditions, including pneumonia, asthma, bronchiolitis and chronic obstructive pulmonary disease (COPD). Another company utilizing artificial intelligence advances is Beyond Verbal, which has launched a research platform that's attempting to identify biomarkers in users' voices to detect a range of health issues, including heart problems, ALS and even Parkinson's disease.


MedTech Startup Uses AI To Identify Respiratory Issues In Children

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A Polish startup is using artificial intelligence-powered technology to help parents monitor their children for early signs of respiratory issues. StethoMe, based in the city of Poznań, has developed a smart wireless stethoscope that can detect, classify and analyze pathological sounds within children's lungs through the use of AI. It claims that the technology can increase the accuracy of results and analysis by up to 13%, providing "peace of mind for parents examining their children at home" and "more accurate readings for doctors". "The healthcare challenge we are tackling is the lack of remote auscultation and the poor accuracy and subjectiveness of this kind of examination. There is currently no objective method for diagnosing lung conditions at home," says CEO Wojciech Radomski.