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Chatbots News Tuesday, April 3 Physical activity data, Continuous health risk, Chatbots & more…

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Chatbots News TLDR / Table of Contents

  • How Artificial intelligence can predict biological age based on smartphone, wearables data
    • Artificial intelligence (AI) can produce digital biomarkers of ageing and frailty by gathering physical activity data from smartphones and other wearables, scientists have found. The finding, published in the journal Scientific Reports, untaps the emerging potential of combining wearable sensors and AI technologies for continuous health risk monitoring with real-time…
    • physical activity data, continuous health risk, state-of-the-art Convolution Neural, health risks models, journal Scientific Reports
  • Education Chatbot: 4 Ways Chatbots Are Revolutionizing Education
    • The advent of AI-powered technology, and online chatbots in particular, has boded well for numerous industries. Education, in particular, has greatly benefited from chatbot development. Education…
    • chatbots, online chatbots, University website chatbots, best chatbots, Education chatbots
  • Insurers will study blockchain to fix their provider lists
    • UnitedHealth Group and Humana are launching a pilot program to study whether blockchain technology can help track provider information.
    • Medicare rival Humana, UnitedHealth Group, big difference, administrative costs, Medicare Advantage plans

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How Artificial intelligence can predict biological age based on smartphone, wearables data

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  • Artificial intelligence (AI) can produce digital biomarkers of ageing and frailty by gathering physical activity data from smartphones and other wearables, scientists have found.
  • Artificial Intelligence is a powerful tool in pattern recognition and has demonstrated outstanding performance in visual object identification, speech recognition, and other fields, said Peter Fedichev from the Moscow Institute of Physics and Technology (MIPT) in Russia.
  • Recent promising examples in the field of medicine include neural networks showing cardiologist-level performance in detection of arrhythmia in ECG data, deriving biomarkers of age from clinical blood biochemistry, and predicting mortality based on electronic medical records, said Fedichev.
  • The researches analysed physical activity records and clinical data from a large 2003-2006 US National Health and Nutrition Examination Survey (NHANES).
  • Combination of ageing theory with the most powerful modern machine learning tools will produce even better health risks models to mitigate longevity risks in insurance, help in pension planning, and contribute to upcoming clinical trials and future deployment of anti-ageing therapies, he said.

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Education Chatbot: 4 Ways Chatbots Are Revolutionizing Education

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  • By answering a wide variety of questions about academic, administrative and financial matters, and giving out important reminders and notifications directly through the chat window, chatbots ensure that any information present on a universitys website is available 24/7 to its students.
  • Universities that create a chatbot for their websites, give potential and existing students a free and accessible point of contact for all their questions and complaints.
  • A lot of these questions tend to be asked by new students every year, so with careful chatbot development, universities can address the bulk of these pre-admission queries through their automated chat script itself.
  • Technical support and troubleshooting assistance:After onboarding students and introducing them to campus life, university chatbots can continue to play the role of virtual assistants for sundry online tasks.
  • Some of the worlds best chatbots for university websites double up as virtual tech support personnel, helping students troubleshoot problems with university software, email accounts, and so on.

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Insurers will study blockchain to fix their provider lists

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  • As a patient, finding a doctor in-network on your health plan can make a big difference when it comes to out of pocket costs.
  • For insurers and the doctors they contract with, finding a better way to keep provider lists up to date, could make a big difference when it comes to administrative costs.
  • From the perspective of the provider organizations … (they) can work with up to dozens of insurance plans, and each of the plans are individually requesting or verifying the provider information, said Mike Jacobs, senior distinguished engineer with UnitedHealth Group’s Optum division.
  • The insurers will launch the new program this summer, along with Quest Diagnostics and health insurance consultants at Multiplan, to see whether they can cut costs by sharing data and reduce the administrative burden of keeping lists accurate.
  • Regulators at CMS, the Centers for Medicare and Medicaid Services, may start fining Medicare insurers up to $25,000 a day for inaccurate provider lists, so it’s a problem the industry is anxious to resolve for their doctors, their patients and their bottom lines.

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