Cross-Diagnostic Inference Patents Are Diagnostic AI’s Open White Space

AI can now detect heart disease from routine mammograms, and the patent landscape behind cross-diagnostic inference is almost completely empty.

Researchers at Emory University trained a deep learning model to spot cardiovascular risk markers in standard breast mammograms. Women with severe breast arterial calcification faced two to three times the risk of serious cardiac events. With 40 million mammograms performed annually in the U.S., a single screening could flag heart disease without ordering a separate scan. CureMetrix already holds a granted patent on this approach (EP3985557B1).

But the broader IP landscape has not caught up. Less than 1% of AI medical imaging patents cover cross-diagnostic inference, where an algorithm trained on one imaging modality surfaces signals for an unrelated condition. Philips, Siemens Healthineers, and GE Healthcare hold the majority of single-disease detection filings.

The cross-diagnostic category is wide open, and AI-native startups are the ones filing first.

If you work in diagnostic AI, the highest-value patents of the next five years should protect the instantiations of the algorithms that find diseases a scan was never designed to detect. We can see many patents in this overlap especially as AI agents load into the scanner to find or create itself the best algorithms. The day of agentic ai at the medical device edge is likely months away, lots of money to be made here with IP!

---

Building diagnostic AI and want to claim ground in this white space before it fills? Talk to ipCapital Group about a patent strategy for cross-diagnostic inference.