The World Economic Forum ranks Generative AI for Health as one of the Top 10 Emerging Technologies of 2024. But what does that really mean for hospitals, clinicians, and patient outcomes?

In this episode, we unpack the WEF insights and explore how GenAI is reshaping diagnostics, drug discovery, and personalized care—along with the regulatory and ethical challenges that still loom large.

#AIinMedicine #DigitalHealth #WEF #HealthcareInnovation
@AI in Healthcare @Coalition for Health AI (CHAI) @American Board of Artificial Intelligence in Medicine (ABAIM)

🚨 New Episode: Revolutionizing Clinical Trials with AI – Lessons from Latin America

In this episode, we unpack the AI-Driven Clinical Trial Playbook—a bold roadmap for how MedTech innovators can cut costs, accelerate approvals, and go global faster.

Latin America is emerging as a clinical trial powerhouse:
✅ Faster ethics + regulatory pathways
✅ FDA/EMA-ready data
✅ Lower trial execution costs
✅ Seamless integration of AI from recruitment to analysis

We explore how artificial intelligence is reshaping every phase of trial design—and why this matters now.

Special thanks to:
@AI in Healthcare
@Coalition for Health AI (CHAI)
@American Board of Artificial Intelligence in Medicine (ABAIM)

#AIinMedicine #ClinicalTrials #HealthTech #MedTech #DigitalHealth #LatinAmerica #HealthcareInnovation

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

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 AI

• How strategic misalignment and regulatory uncertainty hold back progress

• Six key calls to action that could unlock real-world value—now, not someday

From 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.

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 diagnostics

• AlphaFold 3 and the limits of protein/RNA prediction

• Surgical robots and the LASR autonomy scale

• Brain–Computer Interfaces (BCI) and OpenAI integration

• AI in reproductive health, dementia prediction, and smart elder care

From smart embryo selection to real-time heart disease detection, this isn’t sci-fi—it’s happening now.

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.

🚨 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 Here

This 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 stage

• What “explainability” really means to a clinician at the bedside

• The 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

AI doesn’t just predict anymore—it double-checks the doctor.

How do we know a diagnosis is accurate, a surgery went right, or a patient received the right care? Enter: AI-powered quality assurance.

In this episode, we explore how AI is transforming patient safety—across diagnostics, pathology, surgery, and more. From advanced lesion detection during endoscopy to precision in pathology, AI is already outperforming human baselines in critical ways. But what stands in the way of full adoption? We also unpack the hard stuff: data standards, explainability, and ethical oversight.