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Artificial Intelligence for Radiologists

TO ERR IS HUMAN.
AI + HUMAN IS vRAD.

TO ERR IS HUMAN.
AI + HUMAN IS vRAD.

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vRad is at the forefront of artificial intelligence
for radiology—accelerating the speed of care and improving
the quality of diagnosis for life-threatening pathologies.

vRad is at the forefront of artificial intelligence for radiology—accelerating the speed of care and improving the quality of diagnosis for life-threatening pathologies.

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AI
Algorithms
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Studies Reviewed Annually

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Annual Diagnosis Corrections

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Turnaround Time Improvement

IMPROVING QUALITY
IN RADIOLOGY

Mistakes happen in healthcare.

To quote the landmark 1999 publication,
“To Err is Human.”

AI provides a
powerful safety net,

catching mistakes quickly and reducing the impact on patient care.

AI as a “safety net” does not guarantee all critical pathologies listed will be detected. AI improves the probability of detection, as indicated by 550+ corrected diagnoses in 2022.

550+ Diagnosis Corrections Annually— Here's how

In 2022, vRad AI identified over 550+ diagnostic errors—involving 8 critical pathologies—leading to a timely clinical correction. 

While 550+ is a significant number, vRad radiologists read 6.5M studies annually and our well-documented error rate of 1.3 major misses per 1,000 reads is one-third that of published benchmarks such as the Wilson Wong study (JACR, 2005). AI has become a powerful tool to further improve vRad’s overall quality of care.

550+ Diagnosis Corrections Annually— Here's How

In 2022, vRad AI identified over 550+ diagnostic errors—involving 8 critical pathologies—leading to a timely clinical correction. 

While 550+ is a significant number, vRad radiologists read 6.5M studies annually and our well-documented error rate of 1.3 major misses per 1,000 reads is one-third that of published benchmarks such as the Wilson Wong study (JACR, 2005). AI has become a powerful tool to further improve vRad’s overall quality of care.

8 Critical
Pathologies

All relevant images sent to vRad are automatically reviewed for quality assurance by AI for 8 critical pathologies.

Aortic dissection(Chest, Abd CT)

Epidural lesion(Spine CT)

Intracranial hemorrhage(Head CT)

Pneumoperitoneum(Chest XR)

Pneumothorax(Chest CT)

Pulmonary embolism (Chest CTA)

Splenic laceration(Abdomen CT)

SMA occlusion(Abdomen CT)

Patient Save Examples

AI ensured the timely diagnosis for these patients with life-threatening conditions. 

Avoiding Lawsuits Helps ​ Everyone

Because lawsuits often include all involved physicians and facilities, vRad clients benefit from reduced medical malpractice exposure. vRad AI algorithms avoid millions of dollars in potential medical malpractice indemnity annually for our practice alone.

WE BUILD AI MODELS
BASED ON PATIENT NEED

The most
cases

Roughly 85% of vRad studies are from emergency departments so pulmonary embolism and intracranial hemorrhage were some of the first models we developed. In 2022, these were the most corrected misses by volume with 311 and 135 respectively. 

the Highest Patient and
Med Mal Risk

In 2022, vRad AI identified 102 missed epidural lesions that were quickly corrected and communicated to the care team. Nobody else utilizes AI for the detection of epidural fluid collections. But for vRad clients it makes sense because of our high volume of emergent studies. A missed epidural lesion can have devastating consequences for the patient and is the most expensive miss in terms of med mal indemnity.

FASTER CARE FOR
OUR MOST CRITICAL PATIENTS

FASTER CARE
FOR OUR MOST CRITICAL PATIENTS

Healthcare providers are struggling under the weight of heavy imaging volume and not enough radiologists. This can prolong the time-to-diagnosis for patient conditions where time is of the essence. AI is helping combat the national radiologist shortage.

Our AI models review all incoming relevant images at vRad for 12 critical findings.  If pathology is suspected, the case is immediately distributed to all available radiologists and placed at the top of their worklists. 

vRad Prioritizes Critical Pathologies With AI

Epidural lesion

Spine CT

Intracranial hemorrhage

Head CT

Edema

Chest XR

Pneumothorax

Chest XR

Aortic dissection

Chest, Abd CT

Pneumoperitoneum

Chest CTA

Pulmonary embolism

Chest CTA

Pneumonia

Chest XR

Splenic laceration

Abdomen CT

SMA occlusion

Abdomen CT

Hip fracture

Hip, Pelvis XR

Testicular torsion

Pelvis US

RESULTS

Turnaround times reduced as much as 68%
for ~1,800 patients each month with critical findings.

vRad Prioritizes Critical Pathologies With AI

Epidural lesion

Spine CT

Intracranial hemorrhage

Head CT

Edema

Chest XR

Pneumothorax

Chest XR

Aortic dissection

Chest, Abd CT

Pneumoperitoneum

Chest CTA

Pulmonary embolism

Chest CTA

Pneumonia

Chest XR

Splenic laceration

Abdomen CT

SMA occlusion

Abdomen CT

Hip fracture

Hip, Pelvis XR

Testicular torsion

Pelvis US

RESULTS

Turnaround times reduced as much as 68%
for ~1,800 patients each month with critical findings.
AI Safety Net Video

AI IS HELPING ENSURE COMPLETE AND ACCURATE RADIOLOGY REPORTS

Inaccurate or missing information on a radiology report can impact patient treatment, reimbursement, and even downstream client applications through data integrations. 

Mistakenly reporting left vs. right

Forgetting terminology for reimbursement

Omitting reporting requirements such as Fleischner criteria or LI-RAD score

…and many more.

These examples have been eliminated by the automated radiologist alerts embedded into the vRad Imaging Platform.

THE TEAM AND SCIENCE BEHIND VRAD AI

In 2004, vRad made the pivotal decision to form an internal software engineering team. Since then, the team has developed thousands of tools that meet the unique needs of our practice of 500+ radiologists, reading on a single platform for clients in every state.

We deployed our first AI model in 2015 for the detection and prioritization of Intracranial Hemorrhage. Today, our development team is focused on real-time QA overreads, superior mesenteric artery occlusion verification, and other models for efficiency, quality assurance, and risk reduction.

Published on vRad AI

For additional AI and other radiological research by vRad radiologists please visit the research section of our website.

How you can leverage vRad AI

Radiologists

If you are a radiologist wanting the power of AI at your back, talk to one of our knowledgeable recruiters today.


Healthcare Administrators

If you are a healthcare administrator seeking new advantages for your organization and patient population, let’s discuss how you can leverage our AI today.

vRad AI software does not provide any diagnostic or treatment information or recommendations, nor are studies flagged in any way to indicate that an AI model has identified a likelihood of the presence of any pathology.