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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.

Radiology challenges and the arrival of AI: Notes from RSNA

More than 50,000 radiologists and industry professionals recently gathered at McCormick Place in Chicago for RSNA 2019. Among them was Shannon Werb, President and COO of vRad, a MEDNAX Radiology Solutions company. We caught up with him to get his take on the show.

How AI is accelerating care delivery in critical cases

The MEDNAX Imaging Platform employs multiple AI models in processing over 20,000 radiology studies each day. Silently prioritizing critical cases is one way our radiological AI is improving patient care.

AI in Radiology: Making an impact today and charting a path to the future

Beyond theory, MEDNAX Radiology Solutions is using practical AI to impact patient care today, while paving the way to the future of radiology.

$77,000 to RAD-AID thanks to vRad radiologists and First Read Initiative

I was proud to deliver a check for $77,719 to RAD-AID on behalf of my generous vRad and MEDNAX colleagues at the 2019 RAD-AID Conference in Washington, DC. In just our second year, First Read Initiative added nicely to our inaugural-year gift of just over $72,000.