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184. Bias and Equity with Artificial Intelligence in Health Care
Manage episode 470625371 series 2655131
Content provided by Aledade Inc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aledade Inc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Join us this episode as our guests from Aledade, Dennis Liubyvyi, Director of Artificial Intelligence (AI) Research, and Jette Henderson, Staff AI Researcher, explain the world of AI and machine learning and its potentially transformative impact on health care. Dennis shares how AI models at Aledade are reshaping patient care by analyzing vast amounts of patient data to predict critical health events such as kidney disease progression and congestive heart failure. The goal is to provide more timely, targeted interventions to patients who need them most. Jette also notes the challenges that exist in these predictive models, particularly regarding biases within data sets, which can lead to inaccurate predictions and how Aledade is developing tools to help identify and mitigate these biases.
Connect with us at [email protected] or visit the Aledade Newsroom
185 episodes
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Manage episode 470625371 series 2655131
Content provided by Aledade Inc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aledade Inc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Join us this episode as our guests from Aledade, Dennis Liubyvyi, Director of Artificial Intelligence (AI) Research, and Jette Henderson, Staff AI Researcher, explain the world of AI and machine learning and its potentially transformative impact on health care. Dennis shares how AI models at Aledade are reshaping patient care by analyzing vast amounts of patient data to predict critical health events such as kidney disease progression and congestive heart failure. The goal is to provide more timely, targeted interventions to patients who need them most. Jette also notes the challenges that exist in these predictive models, particularly regarding biases within data sets, which can lead to inaccurate predictions and how Aledade is developing tools to help identify and mitigate these biases.
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185 episodes
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Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
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