Videos and Podcasts
DiME Webinar: Addressing Bias in the Evolving Landscape of AI in Health Care
This on-demand webinar explores the role of bias related to the use of data for AI in healthcare solutions and how clinicians, tech companies, and other stakeholders are learning mitigation approaches as the AI landscape evolves.
ClosedLoop’s Chief Health Analytics Officer, Carol McCall, was featured as a panelist on “Addressing Bias in the Evolving Landscape of AI in Health Care,” a webinar hosted by the Consumer Technology Association (CTA) and Digital Medicine Society (DiMe).
The session explored the role of bias related to the use of data for AI in healthcare solutions and how clinicians, tech companies, and other stakeholders are learning mitigation approaches as the AI landscape evolves. Carol was joined by:
- Sarah Awan, Equity Fellow with CEO Action for Racial Equity; Senior Manager, PwC
- Milissa Campbell, Managing Director, Health Insights Lead, NTT DATA Services
- Ami Bhatt, MD, Chief Innovation Officer, American College of Cardiology; Director, MassGen Adult Congenital Heart Disease Program (Moderator)
Watch the webinar
Related Resources
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.
Algorithmic Bias in Healthcare AI and How to Avoid It
In this AIMed webinar, ClosedLoop explains why assessing algorithmic bias is critical for ensuring healthcare resources are fairly allocated to members. Tune in as AIMed hosts an important conversation about avoiding hidden bias in healthcare AI.
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.
