The vRad 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.
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Burnout has become commonplace among medical professionals, especially radiologists. While increasing caseloads are part of the picture, much of the stress physicians are experiencing comes from areas that distract them from patient care – shifting regulatory requirements, confounding processes and systems that complicate medical practice, hospital politics, or challenges to balancing work life with home life.
For the latest information on vRad’s Artificial Intelligence program please visit vrad.com/radiology-services/radiology-ai/
Early hype implied that artificial intelligence would replace radiologists. Turns out the opposite is closer to the truth. Without radiologists there is zero potential for the future of AI in diagnostic imaging. Radiologists are integral to model development, testing and validation.
While workflows change to balance growing demand for imaging studies with decreasing capacity, it is essential that patient care is not compromised. Radiology practices must be prepared to invest and adapt for the long term to ensure critical performance metrics remain solid in this volatile environment.
The demand for imaging studies is expected to continue to increase for the foreseeable future. However, the number of radiologists on hand to perform those studies will remain relatively flat, and potentially decline. This is creating a market-wide capacity imbalance that is straining performance across radiology.
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