When Machines Are Better, Should Human Surgeons Step Aside?

Where should a hospital’s AI actually run, and who controls the data it learns from?In this episode of AI Meets MedTech, Anna Nesterova sits down in the studio with Samantha Rubinchik, CFO & Co-Founder of Warp Lab, to talk about the fight over data sovereignty in healthcare. Cloud AI promises speed and scale. But for many clinics and health systems, sending patient data off-site is a risk they won’t take. Samantha explains why on-prem infrastructure still matters, what “keeping data off the cloud entirely” means in practice, and what it takes for a hospital to trust an AI that runs on its own hardware. She even brought one of Warp Lab’s on-prem units into the studio.We cover:Data sovereignty: who owns, controls and is accountable for patient dataOn-prem vs cloud AI: the real trade-offs in safety, cost and controlWhy some healthcare organizations keep patient data off the cloud completelyWhat it takes to get a clinic or hospital comfortable with a local AIThe business side: risk, liability and the economics of owning your AI stackIf you’re a healthcare leader, a MedTech founder, or anyone deciding where your organization’s AI should live, this one’s for you.⏱️ Chapters🔗 LinksWarp Lab: https://warp-lab.aiSamantha Rubinchik on LinkedIn: [add link]Newsletter & more: http://www.aimeetsmedtech.com/🎧 Listen on Spotify, Apple Podcasts, Amazon Music and YouTubeSpotify: https://open.spotify.com/show/033v5JDoHlCbQsHWqV6YKAApple Podcasts: https://podcasts.apple.com/us/podcast/ai-meets-medtech/id1896898150If this episode was useful, subscribe and leave a review. It really helps the show reach more people in healthcare.#HealthcareAI #MedTech #DataSovereignty #OnPremAI #CloudComputing #HealthIT #PatientData #AIinHealthcare #DigitalHealth

What if the device that digitizes your cancer biopsy cost under $5,000 instead of $200,000? In this episode of _AI Meets MedTech_, host Anna Nesterova talks with Michael, a UCLA PhD researcher and founder, about the portable AI-enhanced microscope scanner he built for pathology.They cover:Why most biopsies still aren't digitized, and why that holds back AI in pathologyHow continuous scanning with deep learning replaces expensive scanner mechanicsA live demo of a cloud portal for remote, shared slide reviewWhat this could mean for rapid on-site evaluation, surgical margins and faster results for patientsWhether AI will replace pathologists, and why Michael says noA blitz round on startups, microscopes and what AI will never replaceThe device is currently research use only. Find Michael at scanamus.ai and on LinkedIn.Chapters00:00 Introduction to AI in MedTech00:48 Michael Fanus's Journey and Motivation04:04 The Unique Microscope Technology09:57 Challenges in Pathology and Digitization16:04 Real-Time Scanning and Pathologist Interaction21:55 Future of Pathology and AI Integration27:55 Vision for Patient Diagnosis and Treatment33:55 Final Thoughts on AI and Pathology

In this episode of AI Meets MedTech, Urs Anliker discusses the evolving landscape of AI in healthcare, particularly focusing on digital biomarkers and their potential to transform patient care. He emphasizes the importance of collaboration between technology developers and healthcare professionals to create meaningful value in AI applications.We also discussed the MedTech Meets AI Conference in Barcelona.Chapters00:00 AI in MedTech: A New Era04:28 Digital Biomarkers: Transforming Healthcare10:45 AI's Role in Home Healthcare Devices14:39 Challenges and Opportunities in AI Development18:28 Successful Implementations of AI in Healthcare22:16 Collaboration for Value Creation in AI

Could AI eventually outperform human surgeons and what would that mean for patients and the future of medicine? Dr. Amir Nasir, an optical engineer turned board-certified plastic surgeon, shares his perspective on the promise and risks of AI in healthcare.We discuss patient safety, autonomous surgery, the role of human compassion, and why hospitals should listen to frontline staff before adopting new technology. Dr. Nasir also explains the ideas behind his dystopian novel, The Last Surgeon, and how his company, Clinical Preflight, evaluates healthcare products in real-world clinical settings.

What does AI transformation really take inside a global healthcare company? GE Healthcare’s Karolina Henzel explains why scaling AI depends on trusted data, leadership support, and embedding solutions into everyday workflows, not just building a successful pilot. Host Anna Nesterova and Karolina discuss employee adoption, choosing high-impact use cases, and where AI is reshaping operations from manufacturing to logistics and procurement.

AI is already part of the MRI workflow—but is it making MedTech faster, safer, and more trusted, or just moving risk around? Binu Gangadharan, Senior Director of Services and Solutions at Philips and leader of the MRI business unit, discusses how generative AI is changing field service, regulatory strategy, and engineers’ day-to-day work.Binu explains the shift from product-first hardware to solution-driven health technology, and how staff shortages, rising patient volumes, and the goal of eliminating unplanned downtime are driving that change. He describes how AI can flag service issues before alarms go off, help technicians arrive with the right part and a better diagnosis, and make remote monitoring more useful.The conversation also explores how Philips builds trust in high-risk environments

Dr. Declan Kelly, the founder and CEO of Eolas Medical, discusses the journey of Eolas deploying their technology in 500+ hospitals across the globe, the intersection of medicine and technology, the impact of AI in healthcare, challenges and opportunities in healthcare AI, and the role of government in AI adoption in healthcare. Chapters00:00 The Journey of EOLAS02:52 The Intersection of Medicine and Technology06:02 The Impact of AI in Healthcare09:08 Challenges and Opportunities in Healthcare AI27:02 Government and AI in Healthcare

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 topicsDifferences in AI projects across sectors (entertainment, finance, healthcare)Importance of understanding user impact in healthcare AIChallenges in building trust with healthcare professionalsEvaluation metrics for AI models in medicineMisconceptions about AI capabilities in healthcareTransparency and explainability of AI modelsRisks of over-reliance on AI in medical decisionsFuture 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.