Dear Imaging Leaders Insider,
The use of artificial intelligence (AI) in healthcare is getting plenty of attention these days, with researchers exploring everything from holographic augmented reality platforms that help readers assess splenic artery aneurysms to deep-learning tools for reducing digital breast tomosynthesis dose or distinguishing lung nodules on CT scans.
But AI technology may serve more humble purposes, too, according to a study presented on March 15 at the American Medical Informatics Association meeting in San Francisco. Read the Insider Exclusive to find out more about a new, open-source algorithm developed at the U.S. National Institutes of Health that identifies negative and uncertain findings in radiology reports -- and could eventually help guide radiologists' image interpretation, making them more efficient.
When you've read our featured article, take a look at what else is going on in our Imaging Leaders Community:
- If 2018 match results are any indication, radiology has rebounded: U.S. diagnostic radiology programs reported a 100% fill rate for first-year residency positions.
- How important is the Merit-Based Incentive Payment System (MIPS) cost category to radiology? Find out what contributing writer Richard Morris of Healthcare Administrative Partners has to say.
- Why is the Medicare Payment Advisory Commission (MedPAC) still sounding the alarm that imaging is overused, despite the fact that growth in imaging utilization has actually declined since 2009?
- In a related story, read why Harvard researchers say that imaging is still playing a role in boosting U.S. healthcare costs.
- Are you ready for Medicare's value modifier adjustment for 2018?
- Discover how mitigated multiple procedure payment reduction (MPPR) cuts in 2017 could restore up to $64 million in Medicare professional payments to radiologists each year.
As always, if you have a comment or report to share about any aspect of diagnostic imaging practice, management, administration, regulation, or financing, I invite you to contact me.
