Some of the most talked about data at ACC.24 were the results of a late-breaking clinical trial comparing different transcatheter aortic valve replacement (TAVR) valves in patients with a small aortic annulus. 

Munster, Indiana, is a thriving suburb 30 miles south of the heart of Chicago. It’s a place where the locals like to stay local, especially when it comes to healthcare. Patients in the area often turn to 454-bed Community Hospital, one of three acute-care hospitals part of Powers Health. 

Five years ago, two key takeaways from a survey of their pathologists sent NorthShore University HealthSystem toward the front lines of a technological revolution: digital pathology.

The team almost unanimously agreed that, first, it was time to consider AI as an aid to microscopic tissue analysis. And second, 73% wanted the flexibility to work remotely at another site or at home, at least sometimes, via telepathology.

It was about 2000 when Yale pathologist John Sinard, MD, PhD, first heard the prediction. “In five years, we won’t be using microscopes,” a respected peer quipped. “We’ll be examining all our slides as digitized images on computer monitors.”

Nearly a quarter-century later, Sinard reports: “I’m at my workstation, and my microscope is sitting right here next to me.”

With more than 7 million digitized slides on hand, the pathology department at Memorial Sloan Kettering Cancer Center in New York City represents one of the largest repositories of whole slide images in the world. It’s no surprise the library is so large, as it’s been accruing new images since 2008. And with total case volumes exceeding one million slide reads per year, the inventory continues to grow at that scale.

Remember when X-ray abandoned cumbersome film once sleek digital suitors showed up? It happened little by little, not all at once. In much the same way, radiology datasets are leaving cramped hardware spaces for the inexhaustible, ever-flexible expanse of the cloud.

Korak Sarkar, MD, vividly recalls a clinical case that clearly demonstrated the significant impact that enterprise imaging can have on healthcare delivery.

As recently as three to five years ago, clinicians diagnosing disorders could not afford to dismiss the possible presence of “stumble-across” imaging studies.

Don’t confuse the term with incidental findings. These are anatomic abnormalities that pop up in imaging exams looking for something else. By contrast, stumble-across imaging is typically a prior exam that’s relevant to care but hidden from view. The only way a clinician can find it is to stumble across it.