Share this article and save a life!
“We’re ready to replace radiologists with AI tomorrow.”
That bombshell came from Mitchell Katz, CEO of NYC Health + Hospitals, at a recent healthcare panel.
His plan? Let AI handle first reads of mammograms and X-rays. Radiologists would only review flagged cases.
The numbers are compelling:
• 11 hospitals serving 1 million+ New Yorkers
• AI false negatives: only 3 in 10,000 screenings
• Potential for “major savings” on imaging costs
• Faster access for underserved communities
Westchester Medical’s CEO David Lubarsky agrees, claiming their AI already outperforms humans for low-risk mammography cases.
But radiologists are furious. 🔥
Dr. Mohammed Suhail called it evidence of “confidently uninformed administrators being duped by AI companies.”
Here’s what’s really happening:
We’re watching the collision of three massive forces in healthcare: the staffing crisis, the cost crisis, and the AI revolution.
Safety-net hospitals like NYC Health + Hospitals face impossible choices. They serve predominantly low-income patients who desperately need faster access to screening. But at what risk?
The regulatory barriers Katz mentioned aren’t just red tape, they’re guardrails. And once we cross this line, there’s no going back.
This isn’t about whether AI can read images. It’s about who decides what level of risk is acceptable for which populations.
Are we creating a two-tier system where wealthy patients get human radiologists while safety-net patients get algorithms?
The real question: When hospital CEOs prioritize “major savings” over clinical caution, who protects the patients?
♻️ Repost if AI in healthcare needs human oversight, not replacement
👉 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.
