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 pathology
  
• How continuous scanning with deep learning replaces expensive scanner mechanics
  
• A live demo of a cloud portal for remote, shared slide review
  
• What this could mean for rapid on-site evaluation, surgical margins and faster results for patients
  
• Whether AI will replace pathologists, and why Michael says no
  
• A blitz round on startups, microscopes and what AI will never replace
  

The device is currently research use only. Find Michael at scanamus.ai and on LinkedIn.

Chapters

• 00:00 Introduction to AI in MedTech
  
• 00:48 Michael Fanus's Journey and Motivation
  
• 04:04 The Unique Microscope Technology
  
• 09:57 Challenges in Pathology and Digitization
  
• 16:04 Real-Time Scanning and Pathologist Interaction
  
• 21:55 Future of Pathology and AI Integration
  
• 27:55 Vision for Patient Diagnosis and Treatment
  
• 33:55 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.

Chapters

• 00:00 AI in MedTech: A New Era
• 04:28 Digital Biomarkers: Transforming Healthcare
• 10:45 AI's Role in Home Healthcare Devices
• 14:39 Challenges and Opportunities in AI Development
• 18:28 Successful Implementations of AI in Healthcare
• 22:16 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.

Chapters

• 00:00 The Journey of EOLAS
• 02:52 The Intersection of Medicine and Technology
• 06:02 The Impact of AI in Healthcare
• 09:08 Challenges and Opportunities in Healthcare AI
• 27:02 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 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.