It was no surprise that AI created a buzz at RSNA 2023, but what were the meaningful take-home messages? Hugh Harvey, MD, managing director of Hardian Health in the U.K., has a list of nine to consider.
- There are very few new startup entrants in the AI space.
- AI vendors have unilaterally downsized their booths, possibly indicating a lack of funding.
- A few new point solutions (clinical decision support CDS or diagnostic) from established vendors but no game changers.
- The talk now is all about "operationalizing" AI and getting it into hospitals fast.
- Mergers and partner maturity are happening at all levels, but it's still early days.
- Everyone is on everyone else's platform. No one knows who is winning.
- There is no robust evidence of return on investment yet. Is this the elephant in the room?
- Large language models (LLMs) are appearing at the fringe, but uncertainty about regulatory processes and skepticism remains high.
- Chicago bars still do great cocktails!
Large multimodal (vision and language) models self-trained on huge datasets of images/reports is another trend identified by Alexandre Cadrin-Chênevert, MD, a radiologist and computer engineer from Université de Montréal and Saint-Charles-Borromée, Quebec, Canada. "Pairs will eventually replace almost everything in this space," he commented on X.com (formerly known as Twitter).
For more discussion, go to @DrHughHarvey on X.com
