Events

  • October
    16
    2017

    Quality Talks 2017

    Cyft CEO Leonard D'Avolio Ph.D. will be giving a talk on artificial intelligence and healthcare

Press

  • Provider Coalition to Use Machine Learning for Type 1 Diabetes

    Health IT Analytics, June 13, 2017

    A children’s hospital and diabetes research center are evaluating techniques using artificial intelligence to better identify and manage the care of people with type 1 diabetes.

  • Children’s Mercy, Joslin Diabetes Center to use machine learning for diabetes management

    Becker's Health IT @ CIO Review, June 12, 2017

    Children's Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft.

  • Institutions to Apply AI Models to Type 1 Diabetes

    Science and Enterprise June 12, 2017

    Two provider organizations partner with Cyft to improve the care of patients with Type 1 diabetes.

  • Leading Institutions to Focus on Improving Type 1 Diabetes Care with Machine Learning

    PR Newswire , June 12, 2017

    Children's Mercy Kansas City and Joslin Diabetes Center announce a three-year project with Cyft to apply predictive analytics to proactively identify and manage at-risk individuals.
  • With machine learning and AI in healthcare, can you speak the language?

    HealthcareITNews  - June 8, 2017

    "I'm less concerned about about the subtle differences between machine learning and AI," he said. "For healthcare, it's more important to start with: What problems are we solving?"
  • Healthcare big data is only in its terrible twos

    Healthcare IT News, May 15, 2017

    Tech is the enabler, but it’s people and process that improve care. If you cannot embed it into the complex workflows of healthcare, it won’t help anyone.”

  • The opportunities and challenges of AI in health care

    VentureBeat - February 14, 2017

    "There’s a misconception that AI requires huge amounts of data. The real issue is understanding the context into which you are trying to introduce this technology."

  • Using Machine Learning to Target Behavioral Health Interventions

    HealthIT Analytics - February 06, 2017

    "There is a tremendously exciting opportunity to use machine learning to improve those processes and dig deeper into that data and all the other variables that impact an individual’s life.” -  Dr. Emma Stanton, Associate Chief Medical Officer for Beacon Health Options on the Cyft / Beacon partnership

  • Machine Learning in Healthcare Takes Another Step

    HealthLeaders Media - November 29, 2016

    "Get ready for the next wave of predictive analytics, capable of identifying future admissions and health plan disenrollments." - Scott Mace

  • Tailoring Healthcare Analytics to a Value-Based Future

    Healthcare Informatics - November 14, 2016

    “As value-based care organizations are now discovering, these multi-million dollar investments in traditional analytics are useful for understanding what happened—how many beds were filled, drugs prescribed, surgeries performed. However, they are incapable of answering the fundamental questions of value-based care: what should happen, to whom, when, and how, in order to prevent future events.”

    Leonard D’Avolio and Rajiv Levanthal discuss the future of healthcare analytics and it looks very different than our current reality.

  • Machine learning: Changing everything but healthcare

    HealthcareIt News - October 25, 2016

    "The math is done, that game is over," D’Avolio said. "We’re past the point of these technologies needing to be limited to a few users." A wrap up of Dr. D’Avolio’s HIMSS Big Data and Analytics Conference Keynote Address

  • Big Data: Healthcare must move beyond the hype

    HealthcareIt News - September 28, 2016

    “Either we are reading about how Big Data will cure cancer or about how it’s foolish to believe Big Data will replace doctors,” D’Avolio said. “I think the narrative should be in the middle, where we are talking about these technologies as tools that could be used to complement the work of not just clinicians but also healthcare administrators, operational leaders and others.”

  • Healthcare’s Deadly Data Problem

    The Health Care Blog - Oct 26, 2015

    Our inability to use data in healthcare cost billions in treasure and thousands in lives each year. Dr. D’Avolio dives deeper into Healthcare’s Deadly Data Problem.