Accelerating care delivery

I am pleased to share that vRad has deployed two additional Artificial Intelligence (AI) models to our imaging platform, bringing the total to seven active models helping patients right now.

The first new model identifies pneumoperitoneum in chest CTs, and the second model identifies testicular torsion in ultrasound scans. Both conditions are critical, and timely diagnoses will have a positive impact on patient outcomes. As with all our innovation and product development, our models are immediately available to clients as part of our AI-enhanced on-the-ground and in-the-cloud radiology solutions.

Our practice is for sale. And frankly, I’m pretty excited about it. Based on past experiences, the sale of vRad bodes well for the future of our practice, our staff and our clients.

After 11 years as a vRad radiologist – 3 of them as Clinical Chief of Abdominal Imaging – I left in 2019 for a teleradiology position at another well-known national practice. Just 9 months later, I’m back. Here’s why.

No one anticipated the rapid onset of the COVID-19 pandemic, nor the plunge in imaging demand that followed. The question on everyone’s mind is, “When will we return to ‘normal’?” Despite predictions that a drop of 50% to 70% could last 3-4 months, early indicators show volume returning in many parts of the country already.

vRad AI models are at work today prioritizing critical cases like strokes, improving reporting speed and accuracy, and assisting billing compliance. Below, neuroradiologist Josh Morais, MD recalls how AI helped promptly identify a stroke victim in need of immediate treatment, and offers his perspective on the daily impact he sees from AI.

Skilled radiologists can be selective about where they practice. Following are the top reasons over 500 across the U.S. have chosen a job with vRad.

Every four minutes someone dies of stroke; it ranks in the top five leading causes of death and disability in the United States. Rapid response can mean the difference between life and death, as well as whether a patient will live with disability due to stroke complications.  

The video below includes images from the actual CT study of a COVID-19 patient in the United States. As this disease spreads rapidly worldwide, chest CTs are emerging as a critical diagnostic tool for this infection. The likelihood is high that more radiologists will be called upon for similar studies. Please share this case with your colleagues.

MEDNAX Radiology Solutions’ massive, diverse dataset is an incomparable real-world testing ground for validating radiological AI models. Following is an excerpt of Brian Baker’s comments from a recent interview in The Imaging Wire. (For the complete article, which also includes Imad Nijim of MEDNAX Radiology Solutions, and Chiranjiv Singh of Qure.ai, see The Imaging Wire Q&A: Qure.ai and MEDNAX Validate AI in the Wild.)