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8 reasons radiologists prefer to work for vRad

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.

The impact of rapid response in stroke patients on patient safety

vRrad radiologist and Medical Director Sloan Miller, MD, CPHQ, CPPS recently sat down with the MEDNAX Radiology Solutions team to discuss the impact of rapid response in stroke patients on patient safety.  

These CT images lead to diagnosis of one of first COVID-19 patients in the U.S.

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.

“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.)

Charitable spirit cultivates vRad partnership with RAD-AID

3 to 4 billion people lack access to medical imaging and its potentially life-saving diagnostic insights, according to the World Health Organization (WHO). RAD-AID was founded in 2008 to answer this need. What began with a few radiology professionals has grown to include more than 10,000 volunteers from 100 countries, 75 university-based chapters, on-site programs in over 30 countries, and an annual conference on global health radiology.

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.