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What does a teleradiologist experience on the best radiology platform?

 

Working for vRad is pure radiology. Let me show you.

New Radiology AI Models Reduce Time to Care

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.

I left vRad. This is why I came back.

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.

I see AI improving care for stroke victims every day

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.

“In the wild”: MEDNAX and Qure.ai partnership guiding AI advancements

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.)

How we successfully put AI models to work for our radiologists

Two components are essential to successfully establish, develop and sustain applied AI in radiology: Uncompromised collaboration between radiologists and computer scientists, and access to a constant flow of data that is representative of a highly diverse population. This is the foundation of MEDNAX Radiology AI.

MEDNAX Radiology Solutions tests AI model in largest independent radiology validation exercise to date

Many radiology practices talk about visionary AI, but there are only a few implementing AI into their workflows.

How AI is helping ensure reporting accuracy and compliance

At vRad, AI is helping manage regulatory compliance and adherence to best practices to ensure quality care, which should avoid unnecessary medical expenses and mitigate malpractice risk.

Beyond theory: Building on the success of radiology AI

Our AI models are at work today prioritizing critical cases, improving reporting accuracy and assisting billing compliance. But we’re just getting started. AI will permeate the practice and business of medical imaging to empower radiologists, conquer mountains of administrative burden and strengthen health care delivery.