SIIM 2026: Reporting Moved to the Center of Radiology
SIIM has always been where the most thoughtful people in imaging informatics gather, and the agenda usually centers on PACS, cloud, imaging informatics and AI. Reporting normally sits in the background. This year it didn't. The topic was everywhere: on the session schedule, in the hallways and across the exhibit hall floor.
The Story Everyone Was Telling
The shift was hard to miss. A large share of the floor featured new or expanded reporting, and several companies used the week to announce they were entering the category for the first time. The contrast with diagnostic AI was telling.
Imaging AI is still one of the loudest conversations at SIIM, but years into the hype it's still searching for its identity: where it fits in the workflow, how it earns its keep and what role it actually plays in the problems weighing on radiologists, like burnout and relentless study volume. Reporting is finally getting that same level of attention, and it has a head start. It already sits at the center of those issues, in the one place radiologists can't work around: the report itself.
A Market in Motion
Part of what’s driving this is structural. The end-of-life timelines for legacy reporting systems are forcing health systems to make decisions they’ve put off for years, and they’re making them now — not three years from now. That’s opened the door to a wave of new entrants, each with a fresh take on what a report should do.
But a fresh take is the easy part. When a health system bets its reporting workflow on a vendor, it needs more than a good demo. It needs proof that the technology can perform at scale across complex radiology workflows, and confidence that the partner will still be there to build alongside them.
Why Being Live at Scale Matters
This is where the conversations in our booth felt different. We weren’t describing what reporting could become. We were showing what it’s already doing in production.
The morning SIIM opened, we announced our partnership with Yale New Haven Health System, one of the most significant customer announcements in our company’s history. Yale sets a high bar when it evaluates technology, partners and long-term strategy. Choosing Rad AI reflects confidence in the platform radiologists rely on every day and in our ability to continue delivering alongside them as their needs evolve.
That distinction landed with everyone we spoke with. There's a real difference between introducing a reporting product and supporting reporting in the day-to-day reality of enterprise radiology. One is a vision. The other is proof.
Reporting was the topic of SIIM 2026 because the industry recognizes its impact beyond the report itself. The proof was on the floor: Brian Casey of The Imaging Wire sat down with Yale’s Melissa A. Davis alongside our own CMIO, Rishi Seth, MD, who both spoke openly about what the partnership is already delivering.
