As the medical imaging AI market has matured, AI vendors are increasingly focusing on how best to navigate the last-mile challenges to deliver AI into provider workflows.  Vendors are adopting different strategies to achieve this aim, but one approach which has been increasingly considered and has grown more quickly than any other, is the use of orchestration platforms.

These platforms, which bring AI algorithms into hospital workflows by solving the challenges of back-end deployment, front-end integration, and algorithm orchestration, have proliferated in recent years. As such, there are almost 30 platforms available today. With that being the case, AI vendors must make increasingly difficult decisions about which platforms, if any, are worth pursuing. This is particularly true given the growing consolidation in the imaging AI market, a factor that could add a certain pressure to algorithm developer’s decisions