The reel on my social media automatically loaded after I watched a Go-Pro video my friend had posted. It was a famous actor, his golden voice familiar to millions, standing behind a podium. “He has discovered a new product to clear the lungs of excess fluid,” a caption read. It was presented as a major announcement from the press secretary of the United States. This was amazing news – that after a long career, the actor was turning his efforts to medical research.
Browsing: PACS/IT/AI
In the rapidly evolving world of medical imaging, we’ve come to understand two distinct forms of AI. On one hand, there’s Generative AI – the powerful but passive assistant we’ve grown accustomed to. Great for summarizing data or drafting reports, but ultimately a tool that lacks the ability to execute complex workflows on its own.
Across the healthcare industry, MRI units often represent some of the most underleveraged and expensive assets on the balance sheet. While demand for diagnostic imaging grows, many health systems still operate with fragmented scheduling, underutilized scanners, and reactive operational strategies. This isn’t a technology gap – it’s a business optimization gap.
A researcher at a leading pharmaceutical company had spent decades billing clients thousands of dollars per hour for his research judgment. He once believed his most powerful tools were his instincts and a pen. But today, it’s a chat window.
Early in a career as a system leader you are asked to make decisions that seem like a 50/50 bet at best. I was in the process of crafting a corporate imaging data retention guideline for a 19-hospitals system. The question was: “Do we save the CAD overlay box on mammogram studies or not?” I said, “No, let the radiologists see them in the moment but delete them from permanent storage.” What would you have done?
I’m always on the lookout for opportunities to help you elevate your expertise and connect with the brightest minds in our field. Mark your calendars because SIIM 2025 in Portland, Oregon, from June 11-14, is shaping up to be an unmissable event!
We’ve all had those awkward conversations. The ones where you’re not sure what to say, or the other person seems completely lost. Now, imagine having that same frustrating experience with an AI. That’s where prompt engineering comes in. It’s the art of crafting effective prompts that guide AI models to produce the results you need.
The field of radiology, crucial for diagnosing and treating a vast range of medical conditions, faces a growing challenge: a significant and projected shortage of radiologists. This scarcity threatens patient care, increases workloads for existing professionals, and potentially delays critical diagnoses.
This may be the right time to apply AI in your healthcare organization. You could be faced with care coordination challenges unlike any other. A new payment structure calls for a new AI-driven workflow.
For decades, radiologists were at the forefront of cardiac imaging, pioneering techniques and collaborating with cardiologists, physicists and engineers to develop modalities such as radiography, echocardiography and coronary arteriography.
