In this episode, Joanne Skiles, an AI and cloud engineer with extensive healthcare experience, shares insights on building trustworthy AI systems for medical applications, the importance of understanding high-stakes environments, and the future of AI in healthcare.

key topics

• Differences in AI projects across sectors (entertainment, finance, healthcare)
• Importance of understanding user impact in healthcare AI
• Challenges in building trust with healthcare professionals
• Evaluation metrics for AI models in medicine
• Misconceptions about AI capabilities in healthcare
• Transparency and explainability of AI models
• Risks of over-reliance on AI in medical decisions
• Future trends and regulation of AI in healthcare

AI in healthcare is no longer a question of if - it is a question of whether the industry can finally fix its data, trust, and workflow problems fast enough. Ajai Sehgal, Chief AI Officer at IKS Health, shares why the real breakthrough is not smarter models, but liberated data, transparent “glass box” systems, and humans staying in the loop where it matters most.Ajai Sehgal has spent time at Microsoft, Expedia, Groupon, Hootsuite, Mayo Clinic, and now IKS Health, and he brings a rare view of what actually works when AI meets clinical reality. He explains why so many healthcare AI pilots fail, why EHRs are still built for single-patient access instead of scale, and how turning clinical data into usable formats can unlock everything from faster treatment decisions to better physician support.

Unlock how AI is transforming early cancer detection and revolutionizing patient care—before treatments and diagnoses become personal. Chen Ben Dori, CEO of OffRa Health, reveals the certainty behind risk prediction, the ethical trust needed for AI-driven health decisions, and how technology could democratize preventive healthcare for all, not just the privileged. If you’ve ever wondered whether AI can authentically improve health outcomes or want to understand its real-world implications, this episode is your essential guide to the future of medicine.

This episode is a must-listen for anyone in healthcare, law, or tech who wants to stay ahead of the curve as AI fundamentally transforms accountability and decision-making. With AI advancing faster than legal frameworks, understanding these issues now could mean the difference between being protected or held liable during the next big case or regulation shift.Join us as Pavel Kolmogorov offers compelling insights into a future where responsibility is fragmented, regulations are catching up, and AI’s role in society becomes even more complex—and critical.

Or Imbar, the co-founder and CEO of Metabit, discusses the development of an AI-driven platform for interpreting cardiopulmonary tests, specifically CPET. The conversation covers the challenges of training AI, regulatory approvals, the impact on physician workflow, and the future of cardiopulmonary diagnostics.

The conversation covers Anna Nestorova's journey in medical sales and technology. It explores t he impact of career choices on personal life, the qualities and skills required for success in medical sales, and the challenges employers face in finding talent. Additionally, it delves into the role of AI in training for medical sales and concludes with a call to action for the audience.

Chapters

• 00:00 Introduction and Background
• 06:20 The Role of Soft Skills in Sales
• 26:57 Employer Challenges in Finding Talent

As AI transforms healthcare and recruitment, one question remains: What can technology never replace?

In this episode of AI Meets MedTech, host Anna Nesterova sits down with Luetrell Toler, a recruitment specialist and career coach, to explore the human side of hiring and healthcare. Together, they discuss how AI is reshaping talent acquisition, the opportunities and risks of automation, and why empathy, trust, relationship-building, and human judgment remain essential in both patient care and recruitment.

Whether you're a healthcare professional, recruiter, hiring manager, job seeker, or simply curious about the future of AI, this conversation offers practical insights into balancing innovation with the uniquely human qualities that drive meaningful connections and better outcomes.

What if the same technology used in self-driving cars could make labor and delivery safer?
In this episode of AI Meets Medtech, I sit down with Kamola Mir — CEO and Founder of Lidavex — to explore how LiDAR technology is being applied to labor management and what it means for the future of maternal care.

Whether you're in healthcare, tech, or just curious about where AI is taking medicine — this one is for you.
🎙️ Guest: Kamola Mir, CEO & Founder of Lidavex
🌐 www.lidavex.com
💼 / kamola-mirjalilova-58951b203

#AIMeetsMedtech #MaternalCare #LiDAR #HealthcareAI #MedTech #HealthTech #AIinHealthcare #LaborAndDelivery #WomensHealth #annanesterova