The Future of Global Healthcare Depends on Shared Data
What if no single country could fix healthcare alone?In this week’s podcast, we explore the World Economic Forum’s 2025 white paper on building a Global Health Network Economy — one grounded in trusted, secure data collaboration across borders and sectors.We unpack:🌍 Why data silos are costing lives🔐 How to build trust frameworks for global interoperability🚀 Why public-private partnerships are essential to a healthier, more connected future
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17:32
WEF - The Future of AI-Enabled Health 2025
In this episode, we explore a powerful new white paper from the World Economic Forum and Boston Consulting Group that outlines how AI could reshape global healthcare.But the future isn’t just about technology—it’s about leadership, trust, and collaboration.We break down:Why healthcare leaders still hesitate to adopt AIHow strategic misalignment and regulatory uncertainty hold back progressSix key calls to action that could unlock real-world value—now, not somedayFrom care delivery to operational transformation, this episode unpacks how public-private collaboration could be the key to building a healthier, more equitable world through AI.
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20:43
AI at the Front Lines of Medicine: Robots, RNA, and the Road Ahead
In this special episode, we unpack one of the most comprehensive roadmaps yet for the future of AI in medicine.Drawn from the newly published 2025 review, “Navigating the Endless Frontier”, we explore:Foundation models for medical imaging, EMRs, and diagnosticsAlphaFold 3 and the limits of protein/RNA predictionSurgical robots and the LASR autonomy scaleBrain–Computer Interfaces (BCI) and OpenAI integrationAI in reproductive health, dementia prediction, and smart elder careFrom smart embryo selection to real-time heart disease detection, this isn’t sci-fi—it’s happening now.
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Can We Trust AI in Healthcare? Unpacking the National AI Code of Conduct
In this episode, we delve into the National Academy of Medicine's draft AI Code of Conduct, exploring its implications for healthcare. We discuss the proposed principles and commitments designed to ensure the ethical, safe, and effective integration of AI in health and biomedical sciences. Join us as we unpack the framework aiming to guide stakeholders toward responsible AI adoption in healthcare settings.
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AI for Tailored Diabetes Care: Clinician Perspectives on Patient Needs
🚨 AI in Clinical Diabetes Decision-Making — What’s Just Hype vs. Real Help?A new Nature paper just dropped:📄 Artificial Intelligence in Clinical Decision Support: Applications, Challenges, and Future Directions👉 Read Full PDF HereThis one’s going to set the tone for how hospitals and health systems adopt AI in 2025 and beyond.🧠 Key insights:Why most AI tools still struggle to get past the pilot stageWhat “explainability” really means to a clinician at the bedsideThe ethical risk of AI recommending treatments without accountability💬 My question to you:What’s one thing you think AI should never replace in healthcare?Let’s talk 👇#AIinHealthcare #DigitalHealth #HealthTech #ClinicalAI #FutureOfMedicine #NatureDigitalMedicine
Sobre AI in Medicine - curated summaries making complex issues easy to understand
AI in Medicine - Smart Summaries
Welcome to AI in Medicine - Smart Summaries, the podcast that brings cutting-edge advancements in artificial intelligence and medical research straight to your ears. In a rapidly evolving field where technology meets healthcare, staying updated can feel overwhelming. Our mission is to make complex topics accessible, engaging, and actionable for healthcare professionals, AI enthusiasts, researchers, and curious minds alike.
What You Can Expect
Every week, we delve into groundbreaking medical research, transformative AI applications.
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