All tagged artificial intelligence
The question of radiology obsolescence is really a question about the future of white-collar work itself—any profession rooted in human knowledge, analysis, or judgment. If that’s the concern, maybe the safest advice isn’t “don’t be a radiologist,” but “enter a trade or own an experiential business such as a resort.” Though even those may not be safe forever. Perhaps the best hedge is owning power plants. The takeaway is this: if you’re young and worried about radiology, you should probably be worried about nearly every other career resting on human judgement too. Radiology may be in the spotlight, but if AI replaces us, we certainly won’t be the only ones.
As we stand on what many call the precipice of generative AI, I keep asking myself one simple question: how is it possible, with all this AI capability around us, that some of the most basic tools radiologists have wanted for years still don’t exist or are not available for widespread clinical use?
ChatGPT’s take surprised me — radiologists aren’t going anywhere during my career. Its timeline for AI disruption is both fascinating and reassuring for current radiologists… if it turns out to be true. I’m also relieved that my podcast is predicted to be safe from AI, at least for now. No matter what, I’ll keep doing what human radiologists do best — reading images, performing procedures, and consulting ChatGPT about the deep existential questions of our future.
Radioligand therapy for breast cancer isn’t science fiction—it’s science that’s finally starting to catch up with the need. The potential is enormous. The stakes are high. And the urgency is real…If we do this right, we’ll not only give patients more time—but more quality time. And that, after all, is the point.
Whether you’re a trainee just figuring out how to navigate PACS without rage-quitting, or an attending who’s been using the same mouse settings since the Bush administration, this book delivers practical, actionable tips to upgrade your efficiency—and maybe even your sanity.,,It’s a no-brainer investment in your efficiency.
If you listen to the media, AI is already revolutionizing radiology and putting me out of a job. Let me assure you: hospitals would love for that to be true. Radiologists are in short supply. But it’s not true. Not even close.
Radiologists, AI developers, and the media alike must adopt an objective, evidence-based approach to AI. Hype can undermine patient care by fostering unrealistic expectations and encouraging the premature or risky use of AI technologies. While RSNA 2024 showcased exciting advances, it also underscored how far we are from AI truly revolutionizing radiology.
As one lecture concluded: “AI is here—embrace it, validate it, advance it.” I would add: “and approach it with realism and a healthy dose of skepticism.”
“Short of a silver bullet cure for metastatic breast cancer, can we achieve close to 100% reduction in breast cancer mortality using current screening technologies? A careful re-assessment and re-implementation of current screening approaches may get us much closer. If this topic interests you, read on.”
