How to Incorporate Robust Bioethics in AI Algorithms
MedCity INVEST panelists Carol McCall, Chief Healthcare Analytics Officer at ClosedLoop, and Erich Huang, Ph.D., Chief Science & Innovation Officer at Onduo discuss combatting bias in AI.
Carol McCall, Chief Healthcare Analytics Officer at ClosedLoop, and Erich Huang, Ph.D., Chief Science & Innovation Officer at Onduo, were recently featured as panelists at MedCity INVEST. Their discussion was centered on combatting bias in AI. Specifically, they outlined how to ensure that implicit bias does not make its way into algorithms and the standards for ensuring that technology doesn’t make systemic inequality worse.
MedCity INVEST Digital Health, hosted by MedCity News, is a conference featuring innovative investors across the healthcare spectrum, prominent industry players, and the most promising digital health startups offering innovative approaches or trying to solve some of healthcare’s greatest challenges. MedCity News is one of the fastest-growing sites focused on B2B healthcare innovation and the producer of MedCity Events.
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A Framework for Measuring the ROI and Health Equity Impact of AI-Enabled Health Programs
Discover a useful framework that your organization can use to evaluate programs’ ROI and impact on health equity, especially when introducing an artificial intelligence / machine learning component.
Why Most Fairness Metrics Don’t Work in Healthcare AI/ML
Selecting an appropriate definition of fairness is difficult for healthcare algorithms, as they are applied to myriad diverse problems. Read the paper to learn why we need different definitions of fairness and to understand the most ideal fairness metric for population health AI/ML.
How and Why You Should Assess Bias & Fairness in Healthcare AI Before Deploying to Clinical Workflows
Watch the on-demand session to learn why it's important to evaluate algorithms for bias before deployment and what metrics you can use to assess bias. Plus, get a demo of new product features built precisely for this purpose.