RSNA 2025 is a wrap, and this year’s meeting offers an intriguing look at the forces that are shaping radiology – especially AI and imaging informatics.
It’s no secret that AI has come to dominate recent RSNA conferences, with its promise of fundamentally reshaping how radiologists do their jobs.
- The hope is that by making radiologists more efficient, AI will help radiologists manage rising imaging volumes with a workforce that’s been largely stagnant.
But that dream has been a long time in coming, and the AI sector is being forced to make adjustments as it waits for broader clinical adoption. Many of these trends were on display at RSNA 2025, including…
- Industry consolidation as AI developers make acquisitions to build out integrated suites of AI algorithms.
- New questions about the commercial viability of the AI platform model given Bayer’s step back from Blackford.
- The rise of AI network alliances as alternatives to the integrated suite or platform approaches.
- Building excitement over the performance of foundation and vision language models for clinical tasks.
- Renewed attention on radiology reporting as perhaps the primary use case where AI can truly help radiologists work more efficiently.
Our video interviews from RSNA 2025 explore many of these topics and more, giving you an as-it-happened look at news from McCormick Place.
The Takeaway
We hope you enjoy watching our coverage as much as we enjoyed producing it! Check out the links below, on our YouTube page, or visit the Shows page on our website.