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Home»Healthcare Innovation»In radiology, AI is advancing faster than the field can keep up
Healthcare Innovation

In radiology, AI is advancing faster than the field can keep up

primereportsBy primereportsDecember 6, 2025No Comments2 Mins Read
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Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can reach Katie on Signal at palmer.01.

CHICAGO — In the massive demonstration arena of Chicago’s McCormick Place conference complex this week, hundreds of computer monitors lit up with every body part and radiological image: fractures in X-rays, breast cancer in mammograms, brain atrophy in MRIs, and heart blockages in CT angiograms. With nearly every black-and-white image came a promised boost from artificial intelligence.

In radiology today, and at its largest annual conference held by the Radiological Society of North America, artificial intelligence is inescapable. This year, more than 100 companies filled the floor of the conference’s AI showcase, larger than two football fields — some booths modest, some decked out in multi-story, neon-lit structures, tempting wanderers with on-demand cappuccinos and smoothies. Attendees stopped for selfies with a 3D heart model larger than their heads as it pulsed with light, demonstrating a company’s coronary artery AI.

AI snuck into pitches well beyond the boundaries of its dedicated grotto. The biggest hardware manufacturers in radiology — GPS, people say, for GE, Philips, and Siemens — have also leaned in. Patients-for-hire in boxers stared dutifully into the middle distance as their bodies were gelled-up and prodded to demonstrate AI-assisted ultrasound, and visitors snacked on Chicago-made gourmet popcorn as they walked through a Disney-esque “patient experience” guided by AI. 

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In radiology, AI is advancing faster than the field can keep up



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