Is IBM Ready to Dominate Radiology With AI?

Advances in artificial intelligence (AI) are moving so fast that our team of MBAs can barely keep up. Everywhere you turn, startups are burning through venture capital funds in a mad rush to land grab as much “big data” as possible which will be used to produce the best artificial intelligence algorithms possible. Back in February of this year, we were all proud of ourselves for putting together what we thought at the time was a comprehensive list of “9 Artificial Intelligence Startups in Medical Imaging“. Just 7 months later, we see that there are now more than 40 medical imaging startups developing AI algorithms for use in radiology:

That slide from Signify Research shows how we are already seeing the AI algorithms beginning to specialize in particular areas. We’ve written before about some of the more well funded companies in the list, and now we want to start looking at the rest of them. Before doing that though, we wanted to think about what a winning company in the AI medical imaging space might look like. One thing we know for sure is that the best AI algorithms will be the ones with the best data. This means that each of these startups should have exclusive access to certain “big data” that will distinguish them from their 39 other competitors. The best startups will be spending money to secure access to data, and one good example of that comes not from a startup, but from a beaten-down value stock that pays a nice