Share this article and save a life!
The gloves are off in radiology’s AI debate.
NYC Health + Hospitals CEO Mitchell Katz doubled down this week: “We’re ready to replace radiologists with AI for initial reads, especially breast cancer screening. The cost savings are massive.”
But wait.
ARRS radiology chief fired back on April 14th, calling this vision dangerous. “AI hallucinates X-ray findings without even seeing images,” she warned.
Here’s what’s actually happening:
• GE HealthCare just launched AI that cuts MRI exam times by 50%
• Stanford experts say AI identifies workflow inefficiencies radiologists miss
• Research shows AI improves accuracy when paired WITH radiologists, not replacing them
The real tension? Hospital administrators see dollar signs. A radiologist costs $400K+ annually. AI software? A fraction of that.
But Christine Glastonbury, new ARRS president, makes a critical point: “Radiologists need to embrace AI with actual intelligence to shape its role.”
Think about this: Would you want your cancer diagnosis made solely by an algorithm that sometimes sees tumors that don’t exist?
The answer isn’t replacement. It’s collaboration.
Smart hospitals are using AI to enhance radiologist capabilities, not eliminate them. Faster scans, better accuracy, reduced burnout, that’s the win.
CEOs chasing cost cuts might save money short term. But when AI misses that subtle finding only human expertise catches? That lawsuit will cost far more than any salary saved.
The future of radiology isn’t human vs machine.
It’s human WITH machine. 🤝
♻️ Repost if radiologists deserve a seat at the AI implementation table
👉 Follow me, Jonathan Govette, for daily, real-time updates on healthcare technology and business news. LinkedIn Profile: https://www.linkedin.com/in/jonathangovette/
Share this article and save a life!
Author:
Jonathan Govette is a seasoned healthcare and technology executive with more than two decades of experience building, scaling, and advising digital health companies. He is the Co-Founder and CEO of Oatmeal Health, an AI-driven Lung Cancer Screening and Diagnostics company focused on expanding access to early detection for underrepresented populations, particularly patients served by Federally Qualified Health Centers and value-based health plans.
With a background in engineering, product development, and strategic partnerships, Jonathan has founded and led multiple health technology ventures across clinical care delivery, regulated medical software, and AI-enabled diagnostics. His work sits at the intersection of medicine, technology, and health equity, with a consistent focus on translating complex clinical problems into scalable, real-world solutions.
Jonathan has spent much of his professional life dedicated to improving outcomes for marginalized and underserved communities. He has designed and implemented frameworks that align clinical quality, reimbursement, and technology to sustainably advance health equity at scale. This mission is deeply personal and informs his leadership philosophy and long-term vision for healthcare transformation.
In addition to his operating experience, Jonathan is an author and long-time writer in the healthcare domain, with over 20 years of published work covering digital health, medical innovation, and healthcare systems. He is a frequent mentor to early-stage founders and regularly advises startups on product strategy, partnerships, and go-to-market execution in regulated healthcare environments.
Before entering industry full-time, Jonathan nearly pursued a career in medicine with an early path toward cardiothoracic surgery, an experience that continues to shape his clinical perspective and respect for frontline care delivery.
CEO | Oatmeal Health | AI Lung Cancer Startup | Engineer | Writer | Almost Became a Doctor (Cardiac Thoracic Surgeon) | 3x Health Tech Founder | Startup Mentor | Follow to share what I’ve learned along the way.
