“In the Wild”: vRad and Qure.ai Partnership Guiding AI Advancements
vRad's massive, diverse dataset is an incomparable real-world testing ground for validating radiological AI models. Following is an excerpt of Brian...
Remote radiologist jobs with flexible schedules, equitable pay, and the most advanced reading platform. Discover teleradiology at vRad.
Radiologist well-being matters. Explore how vRad takes action to prevent burnout with expert-led, confidential support through our partnership with VITAL WorkLife. Helping radiologists thrive.
Visit the vRad Blog for radiologist experiences at vRad, career resources, and more.
vRad provides radiology residents and fellows free radiology education resources for ABR boards, noon lectures, and CME.
Teleradiology services leader since 2001. See how vRad AI is helping deliver faster, higher-quality care for 50,000+ critical patients each year.
Subspecialist care for the women in your community. 48-hour screenings. 1-hour diagnostics. Comprehensive compliance and inspection support.
vRad’s stroke protocol auto-assigns stroke cases to the top of all available radiologists’ worklists, with requirements to be read next.
vRad’s unique teleradiology workflow for trauma studies delivers consistently fast turnaround times—even during periods of high volume.
vRad’s Operations Center is the central hub that ensures imaging studies and communications are handled efficiently and swiftly.
vRad is delivering faster radiology turnaround times for 40,000+ critical patients annually, using four unique strategies, including AI.
vRad is developing and using AI to improve radiology quality assurance and reduce medical malpractice risk.
Now you can power your practice with the same fully integrated technology and support ecosystem we use. The vRad Platform.
Since developing and launching our first model in 2015, vRad has been at the forefront of AI in radiology.
Since 2010, vRad Radiology Education has provided high-quality radiology CME. Open to all radiologists, these 15-minute online modules are a convenient way to stay up to date on practical radiology topics.
Join vRad’s annual spring CME conference featuring top speakers and practical radiology topics.
vRad provides radiology residents and fellows free radiology education resources for ABR boards, noon lectures, and CME.
Academically oriented radiologists love practicing at vRad too. Check out the research published by vRad radiologists and team members.
Learn how vRad revolutionized radiology and has been at the forefront of innovation since 2001.
Visit the vRad blog for radiologist experiences at vRad, career resources, and more.
Explore our practice’s reading platform, breast imaging program, AI, and more. Plus, hear from vRad radiologists about what it’s like to practice at vRad.
Ready to be part of something meaningful? Explore team member careers at vRad.
2 min read
Brian (Bobby) Baker
:
January 13, 2021
Radiologists and healthcare administrators have been waiting a long time for the arrival of promised AI tools for radiology. Most AI applications used by radiology providers today are focused on worklist prioritization. While improving the speed of patient care is incredibly important, recent strides in quality improvement open a new world of possibility.
Half a decade after being told that AI will replace radiologists, we’re instead seeing AI become a backstop for human error.
The pace of AI advancements in quality assurance (QA) is accelerating. New models are poised to make significant in-roads in 2021 — exponentially increasing the rate at which AI becomes embedded in the daily workflow of radiologists.
vRad’s AI development team recently began piloting an AI-enabled QA process with three AI models reviewing all chest CT images arriving in our system for pulmonary embolism, aortic dissection, and pneumoperitoneum — looking for discrepancies between the radiologist report and the images. Cases with possible misses are sent to vRad’s clinical QA committee for appropriate follow up and the initial results have been very promising with several critical pathologies identified by AI and confirmed by the committee.
The success of these new models nudges the door open to a flood of exciting questions:
The answer to each of these is getting closer to yes.
The real power to improve radiology quality comes from AI’s innate ability to perform at massive scale. Instead of a practice overreading 1% of studies, AI can overread 100% of studies, looking for specific misses. Our quality improvement pilot has started in the shape of overreads for the QA team, but our sights are set on exponentially augmenting radiologist performance during the read — when the opportunity to improve clinical quality and patient care is greatest. Additionally, the immediate feedback becomes a powerful tool for radiologists to continually sharpen their skills, especially those in the earlier stages of their career.
Quality based AI models will provide concrete metrics, such as number of misses per practice or number of patient lives saved by quick feedback. These quantifications will be leveraged for quality improvement across the clinical aspect of radiology as well as the underlying business of radiology. For example, a near-miss pulmonary embolism or hip fracture that is caught by AI will not only ensure better patient care, but also that the patient does not need to seek care elsewhere — ultimately driving down patient expenses and lost revenue for the hospital.
As practices learn the nuances of AI and deepen their understanding of the tools, AI will provide additional in-read enhancements like immediately measuring nodules, making automatic statements in reports, providing visual indicators including “red dot” notifications or providing visualization masks over probable pathology.
I believe that utilizing AI to improve the quality of care available to patients will propel even further advancements in the technology and drive more widespread adoption quickly. I’m excited that the vision of an AI augmented reading room continues to unfold.
Back to Blog
vRad's massive, diverse dataset is an incomparable real-world testing ground for validating radiological AI models. Following is an excerpt of Brian...
For the latest information on vRad’s Artificial Intelligence program please visit vrad.com/radiology-services/radiology-ai/ ...
For the latest information on vRad’s Artificial Intelligence program please visit vrad.com/radiology-services/radiology-ai/ Many radiology...
vRad (Virtual Radiologic) is a national radiology practice combining clinical excellence with cutting-edge technology development. Each year, we bring exceptional radiology care to millions of patients and empower healthcare providers with technology-driven solutions.
Non-Clinical Inquiries (Total Free):
800.737.0610
Outside U.S.:
011.1.952.595.1111
3600 Minnesota Drive, Suite 800
Edina, MN 55435