
March 5, 2026
Leapfrogging AI adoption in nuclear medicine
- By Maarten Larmuseau, CEO Nuclivision - Walk into RSNA, radiology's largest global conference, and you'll see the future of medical imaging taking shape right before your eyes. In December 2025, the technical exhibit floor was filled to the brim with companies from Microsoft, Siemens, and GE Healthcare down to five-person startups, all converging on the same two letters: “AI”. Finding a booth without "AI" in its marketing materials was nearly impossible, except for the occasional pure hardware vendor proudly staking their reputation on decades of craftsmanship. This AI omnipresence isn't just hype. Over 150 FDA-approved standalone medical imaging AI applications now exist, according to the Health AI Register [1]. Yet the distribution reveals a strong divide: 70 applications for CT, 50 for MRI, seven for PET, and just one for SPECT. While AI has saturated radiology, nuclear medicine remains largely unserved.











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