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Practicing at vRad

Remote radiologist jobs with flexible schedules, equitable pay, and the most advanced reading platform. Discover teleradiology at vRad.

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Well-Being & Burnout Support

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.

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Radiologist & vRad Stories

Visit the vRad blog for radiologist experiences at vRad, career resources, and more.

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Resident & Fellow Resources

vRad provides radiology residents and fellows with free radiology education resources for ABR boards, noon lectures, and CME.

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Teleradiology Services

Teleradiology services leader since 2001. See how vRad AI is helping deliver faster, higher-quality care for 50,000+ critical patients each year.

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Breast Imaging

Subspecialist care for the women in your community. 48-hour screenings. 1-hour diagnostics. Comprehensive compliance and inspection support.

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Stroke Imaging

vRad’s stroke protocol auto-assigns stroke cases to the top of all available radiologists’ worklists, with requirements to be read next.

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Trauma Imaging

vRad’s unique teleradiology workflow for trauma studies delivers consistently fast turnaround times—even during periods of high volume. 

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Clinical and Tech Support

vRad’s Operations Center is the central hub that ensures imaging studies and communications are handled efficiently and swiftly.

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Faster Care ER

Faster Care for Critical Patients

vRad is delivering faster radiology turnaround times for 40,000+ critical patients annually, using four unique strategies, including AI.

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High Quality Patient Care

Higher-Quality Care

vRad is developing and using AI to improve radiology quality assurance and reduce medical malpractice risk.

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Radiology Platform Solution

Now you can power your practice with the same fully integrated technology and support ecosystem we use. The vRad Platform.

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vRad AI

Since developing and launching our first model in 2015, vRad has been at the forefront of AI in radiology.

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Free On-Demand CME

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.

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Spring CME Conference

Join vRad’s annual spring CME conference, featuring top speakers and practical radiology topics.

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Resident & Fellow Resources

vRad provides radiology residents and fellows with free radiology education resources for ABR boards, noon lectures, and CME.

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vRad Research

Academically oriented radiologists love practicing at vRad too. Check out the research published by vRad radiologists and team members.

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About Our Practice

Learn how vRad revolutionized radiology and has been at the forefront of innovation since 2001.

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Our Culture

Our Culture

Explore vRad’s award-winning culture and what it’s like to work at vRad.

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Leadership

Meet vRad’s executive and medical leaders.

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Blog

Visit the vRad blog for radiologist experiences at vRad, career resources, and more.

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vRad News

News

Get the latest news from vRad and top stories over the years.

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Video Library

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. 

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Team Member Careers

Ready to be part of something meaningful? Explore team member careers at vRad.

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Radiologists + AI
Faster, Higher-Quality Care

Since developing and launching our first model in 2015, vRad has been at the forefront of AI in radiology.

Each Year, vRad AI is Improving Care for Thousands of Critical Patients

27 AI Models

Developed by vRad to target the most commonly missed findings and those with the greatest impact on patient care

2,000+ Diagnosis Corrections

Identifying critical finding errors early for QA and rapid correction

36,000+ AI-Boosted Critical Findings

Reducing emergent turnaround times by 15+ minutes on average—and often by hours for non-emergent cases with unexpected critical pathology

Quality Assurance and Prioritization for
15 Critical Pathologies

Higher Radiology Quality

As the landmark 1999 report To Err is Human highlighted, errors in healthcare are inevitable—but they can be quickly corrected.

vRad AI acts as a powerful safety net,¹ identifying 2,000+ diagnostic errors annually across eight critical pathologies, for quality improvement and timely clinical correction.

vRad AI

99.87% Accuracy

While 2,000+ diagnostic corrections is a significant number, vRad radiologists read 6.7M studies annually. AI enhances our robust QA program, which has enabled vRad to maintain consistent accuracy for many years—currently 99.87%. With just 1.3 major misses per 1,000 reads, our error rate is lower than published benchmarks like the Wilson Wong study (JACR, 2005).

Mistakes happen in healthcare. Catching errors early and learning from them can significantly reduce the impact on patients.

AI and Quality

Patient Save Examples

Superior mesenteric artery occlusion

Epidural lesion

Aortic dissection

Benjamin-Strong-MD

Correcting Errors Benefits Everyone

Medical malpractice lawsuits often involve all physicians and facilities in a case. vRad AI enhances accuracy, reducing malpractice exposure for clients and mitigating millions of dollars in potential indemnity costs annually.

For a deeper look at how vRad’s QA and malpractice data shape AI development, read insights from Dr. Benjamin W. Strong: AI Quality Assurance Models: Saving Lives and Millions in Avoided Med-Mal

Read the Full Story

Faster Radiology Care

With rising volumes and a persistent nationwide radiologist shortage, vRad AI is a crucial safety net, automatically identifying and prioritizing cases with suspected critical findings.

AI reviews all relevant incoming images for thirteen critical findings. When pathology is suspected, the case is immediately routed to all available radiologists and placed at the top of their worklists—without disrupting workflow.

Emergent Order Prioritization

vRad receives a high volume of urgent orders from emergency departments nationwide. Each year, 36,000+ confirmed critical findings are prioritized by vRad AI, reducing turnaround times by 15+ minutes on average.

Hidden Threats in Routine Imaging

vRad’s AI also detects critical findings in routine imaging, when they’re not suspected. Each year, AI prioritizes 14,000+ non-emergent cases—including 1,200 confirmed intracranial hemorrhages, 200 pulmonary emboli, and 20 aortic dissections—accelerating care by hours, compared to standard, non-emergent turnaround times.

“I never feel like I’m working without a net.”

Complete and Accurate Radiology Reports

vRad’s automated radiologist alerts, embedded in the vRad Platform, help eliminate common reporting errors, including:

  • Left vs. right discrepancies
  • Omitted terminology for reimbursement
  • Required criteria like Fleischner guidelines or LI-RADS scores
  • …and many more.

The Team and Science
Behind vRad AI

Saving Lives, Not Selling AI Models

vRad AI development focuses on the most-missed, highest-risk findings for real patient impact. For example, in 2024 vRad AI identified missed findings for 980 pulmonary emboli, 675 superior mesenteric artery occlusions, and 64 epidural lesions—allowing rapid radiologist verification and care team notification.

Governance

For over a decade, vRad has maintained a strict AI governance framework, guided by a radiologist panel that prioritizes model development based on patient data and outcomes. With the largest collection of emergent data, we conduct risk-based readiness assessments and continuous monitoring to ensure reliability and prevent model drift.

Early AI Adoption

vRad deployed its first AI model in 2015, to detect and prioritize intracranial hemorrhage. Today, our development team is using the latest generative AI—focusing on efficiency, quality assurance, and risk reduction.

Build vs. Buy: The vRad Advantage

In 2004, vRad formed an in-house software engineering team. This is unique in radiology. Our team of engineers collaborate with our radiologists, leveraging decades of teleradiology experience, to create technology solutions that have the maximum impact for our patients.

Best Practices for AI Model Creation (2023)

Detection of Critical Spinal Epidural Lesions on CT Using Machine Learning (2022)

Leveraging AI to Enhance Peer Review: Missed Liver Lesions on CT Pulmonary Angiography (2022)

Multi-institutional Evaluation of a Deep Learning Model for Fully Automated Detection of Aortic Aneurysms in Contrast and Non-contrast CT (2022)

Measurement of Endotracheal Tube Positioning on Chest X-Ray Using Object Detection (2021)

Detection of Superior Mesenteric Artery Occlusion on Abdominal CT Using Machine Learning (2021)

Automated Segmentation and Worklist Prioritization of Pneumoperitoneum in Abdominal CT Images Using a Convolutional Neural Network (2021)

How You Can Leverage vRad AI

Radiologists

See what it’s like to practice at vRad and have the power of AI at your back.

Explore Radiologist Careers

Imaging Leaders

Explore new advantages for your organization and patient population with vRad’s leading teleradiology services and AI-driven technology solutions.

vRad Services and Solutions

¹AI as a “safety net” does not guarantee all critical pathologies listed will be detected. AI improves the probability of detection, as indicated by the number of diagnostic corrections made.

²vRad analysis of studies with critical findings. Data range: 1/1/23-12/31/23.

vRad AI software does not provide any diagnostic or treatment information or recommendations. Studies are not flagged for the radiologist in any way to indicate that an AI model has identified a likelihood of the presence of any pathology.  AI functionality is intended for prioritization and quality assurance, and is not intended to diagnose, treat, mitigate, or cure any disease or condition. Accuracy, recall, precision, and false negatives vary by AI model.