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.