『Confronting Bias in Healthcare AI: Trust, Equity, and the Future of Medical Technology』のカバーアート

Confronting Bias in Healthcare AI: Trust, Equity, and the Future of Medical Technology

Confronting Bias in Healthcare AI: Trust, Equity, and the Future of Medical Technology

無料で聴く

ポッドキャストの詳細を見る

概要

Welcome to another episode of The AI-Ready Doctor podcast. Today, Dr. Hassan Bencheqroun also known as Dr. B, sits down with Dr. Nneka Sederstrom, a leading voice in healthcare ethics, equity, and strategy. Together, they tackle one of the most pressing issues facing modern healthcare: Can we trust AI systems to deliver equitable patient care?

In this episode, Dr. Sederstrom shares her expertise and personal experiences, offering real-world examples of how bias from underlying data all the way to AI-generated images can infiltrate and impact clinical decision-making. The conversation goes beyond technical jargon to confront the uncomfortable truths of systemic inequity, challenging listeners to reconsider how AI is trained, deployed, and governed in healthcare settings.

With stories ranging from AI’s surprising mistakes in image generation to serious concerns about race-based treatment recommendations, this episode asks tough questions: Who is represented in our data sets? Who gets left behind? And what will it take to ensure AI benefits all patients not just a privileged few?

You’ll hear why cultural alignment, community input, and human oversight are not optional in the responsible adoption of AI. Dr. Sederstrom and Dr. B explore the risks of unchecked AI from reinforcing biases to making life-altering clinical decisions and offer practical advice for leaders, clinicians, and developers navigating this rapidly evolving landscape.

Stay tuned for a compelling discussion about the intersection of technology, humanity, and justice in healthcare and how all of us can be part of building a more equitable AI future.

00:00 Discussing biases in AI outputs

10:16 Bias in AI and healthcare data

12:45 AI bias and training data

20:41 Addressing bias in AI healthcare

26:59 Cultural considerations in patient care

32:57 Biases in AI and healthcare

34:23 The challenges of bias in AI

40:03 Customizing AI with culture and values

46:19 Evaluating bad research and AI tools

56:26 Challenges in AI governance

57:44 Community voice and cultural alignment

https://www.linkedin.com/in/drbmedicalai/

https://drbmedicalai.com/med-ai-academy/

https://aireadydoctor.com/

https://www.tophealth.care/

“Disclaimer: Informational only. Not medical advice. Consult your doctor for guidance.”

adbl_web_anon_alc_button_suppression_c
まだレビューはありません