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AI Vitals is your go-to podcast for exploring the cutting edge of healthcare through the lens of artificial intelligence. We spark imagination by diving deep into the transformative power of responsible AI, examining how it’s revolutionizing the world of personalized health and beyond. Hosted by experts passionate about both technology and healthcare, each episode is an opportunity to uncover the latest innovations, the ethical challenges, and the real-world applications of AI in the health ...
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In this episode, we sit down with Dr. Jessie Tenenbaum, former Chief Data Officer for North Carolina’s Department of Health and Human Services, to explore how generative AI can transform state and local health services. From improving health literacy to redesigning administrative processes, we discuss opportunities, challenges, and the future of re…
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Augmenting Pharmaceutical Marketers with AI
31:24
31:24
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31:24
In this episode, we delve into the evolving landscape of pharmaceutical marketing with Ryan Slipakoff. Ryan shares how generative AI is breaking down silos to drive data-driven strategies for pharmaceutical marketing. We discuss the transition from reactive to proactive approaches, reimagine ways of working across the business, and the future of co…
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Reaching Consensus on Responsible Use of AI for Health
36:41
36:41
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36:41
In this episode of AI Vitals, Dr. Brian Anderson, CEO of the Coalition for Health AI, discusses the challenges and opportunities in developing responsible AI for healthcare. We explore how CHAI is building regulatory frameworks, engaging diverse stakeholders, and creating tools like quality assurance labs to ensure AI technologies benefit all. Join…
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Building Transparency into AI in Healthcare
38:22
38:22
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In our inaugural episode, we explore the heart of AI's role in healthcare with Dr. Chris Hazard, a visionary in AI and human trust. We tackle how to ensure AI systems make decisions we can understand, trust, and act on. Dr. Hazard shares how AI can both spark innovation and stay accountable, breaking down the myths of "black-box" systems to reveal …
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