Waseem Ullah, MD

Dr. Mitchell Katz (CEO of NYC Health + Hospitals) just said he wants to replace “a great deal of radiologists” with AI right now. The only thing stopping him? The FDA. My response: Replace yourself first, Dr. Katz. Here’s why. 🧵 @CrainsNewYork @RadiologyBiz @NYCHealthSystem

@HedgieMarkets Spot on about the false-negative risk and real-world deployment gaps. The deeper inconsistency is why the C-suite is always exempt. AI can run admin ops with literally zero regulatory barriers. My full counter: x.com/wuchau/status/…

🦔 The CEO of NYC Health + Hospitals, America's largest public hospital system, said he is prepared to replace radiologists with AI for first reads once regulations allow it. Mitchell Katz said hospitals could produce major savings by letting AI handle initial mammogram and X-ray reads, with radiologists only reviewing flagged abnormals. A fellow panelist said his system's AI misses breast cancer only 3 times out of 10,000 for low-risk patients and is better than human readers. A San Diego radiologist responded directly: any attempt to implement AI-only reads would result in patient harm and death, and only someone with zero understanding of radiology would say something so naive. My Take In the current system radiologists see every image and catch both false positives and false negatives. In the proposed system AI controls what radiologists ever see. A false positive gets caught. A false negative, where AI says normal and no radiologist ever looks, is invisible in the workflow entirely. False negatives in cancer screening are the dangerous failure mode and the proposed system makes them structurally harder to detect over time because there is no mechanism to know what you missed. The accuracy numbers being cited are also measured on curated datasets from major academic medical centers under controlled conditions. Real deployment means imaging hardware from dozens of facilities, patient populations that differ from training data, and edge cases no benchmark ever included. Hospital CEOs leading with cost savings as the primary argument for this change are answering a financial question while the clinical question, what happens when the model fails on a patient population it wasn't trained on, remains unanswered. That is not a reason AI cannot improve radiology. It is a reason that moving fast on this particular tradeoff carries consequences that won't show up until they already have. Hedgie🤗

@engineers_feed Spot on — but the real question is why the C-suite is off-limits. AI can run budgets and operations with zero regulatory barriers. My take as a radiologist: Dr. Katz, after you. x.com/i/status/20391…

CEO of America’s largest public hospital system says he’s ready to replace radiologists with AI Mitchell H. Katz, MD, president and CEO of NYC Health + Hospitals, recently spoke during a panel discussion held by Crain’s New York Business. The trained internal medicine specialist noted how AI is increasingly being used to interpret mammograms and X-rays.  “We could replace a great deal of radiologists with AI at this moment, if we are ready to do the regulatory challenge,” Katz said at the forum, held on March 25.

@Pirat_Nation Exactly — but before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

The CEO of America’s largest public hospital system says he is ready to replace many radiologists with AI. Mitchell Katz leads NYC Health + Hospitals. He recently said the system could use AI for a lot of radiology work right now, if regulators approve it.

@DavidBroderDO @NYCHealthSystem @AOCRNews @RadiologyACR @I_LOVE_NY Exactly — but before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

CEO of America’s largest public hospital system (NYC Health + Hospitals) says he’s ready to replace radiologists with AI. I hope he requests some additional views. radiologybusiness.com/topics/artific… @NYCHealthSystem @AOCRNews @RadiologyACR @I_LOVE_NY #MedTwitter #PatientSafety #NYC

@pgipe But before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

‘CEO says he’s ready to rake in more profits as soon as his campaign donations take effect’ There I fixed it for you.

@docakx But before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

Awaiting regulatory approval. What do you think will happen?

@radRounds Exactly — but before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

NY Hospital CEO says AI is ready to replace radiologists if laws change

@AmineKorchiMD Exactly — but before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

CEO of America’s largest public hospital system says he’s ready to replace radiologists with AI… radiologybusiness.com/topics/artific…

@trajektoriePL Exactly — but before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

CEO of America’s largest public hospital system says he’s ready to replace radiologists with AI. Mitchell H. Katz, MD, the president and CEO of New York City’s public hospital system, has stated that he is prepared to begin replacing radiologists with artificial intelligence for certain diagnostic tasks as soon as the regulatory environment permits. Speaking at a recent panel, Katz highlighted the potential for AI to serve as the "first reader" for routine screenings such as mammograms and X-rays, which would allow hospitals to realize significant financial savings amid the rising costs of human specialists. In this scenario, radiologists would transition into a secondary role, only reviewing images that the technology identifies as abnormal. Other healthcare leaders supported this vision, citing data that suggests AI can be more accurate than humans in specific low-risk screenings. However, this proposal has met with intense opposition from medical professionals who argue that such a shift would pose a severe threat to patient safety. Radiologists have criticized hospital administrators for being "confidently uninformed," claiming that current AI technology is not yet capable of providing independent patient care without human oversight.

@WillyRontgen @northwoods1980 @francisdeng @heacockmd @drmoneymatters @drsxr @benwhitemd Exactly — but before we replace radiologists, Dr. Katz should replace himself first with AI governance. No FDA hurdles, zero regulatory issues. Full thread here: x.com/i/status/20391…

“We could replace a great deal of radiologists with AI at this moment”. Hospital CEO Mitch Katz spreading lies per usual. @northwoods1980 @francisdeng @heacockmd @drmoneymatters @drsxr @benwhitemd radiologybusiness.com/topics/artific…

@CrainsNewYork @RadiologyBiz @NYCHealthSystem Full op-ed here: linkedin.com/pulse/ai-ceo-w… If this resonates, RT and tag a physician leader or hospital exec who needs to see it. The conversation we’re not having in boardrooms is the one that matters most. #AIinHealthcare #Radiology #HealthcareLeadership

@CrainsNewYork @RadiologyBiz @NYCHealthSystem Radiologists aren’t the cost problem. They’re the last line of clinical accountability in a system that spent 30 years building bureaucracy around them instead of for them. The ethical order is simple: After you, Dr. Katz.

Dr. Mitchell Katz (CEO of NYC Health + Hospitals) just said he wants to replace “a great deal of radiologists” with AI right now. The only thing stopping him? The FDA. My response: Replace yourself first, Dr. Katz. Here’s why. 🧵 @CrainsNewYork @RadiologyBiz @NYCHealthSystem