MINNEAPOLIS, Minn., (March 2, 2021) – vRad (Virtual Radiologic), the nation’s leading teleradiology practice, announced today that the U.S. Patent and Trademark Office has issued the Practice’s 23rd patent.
Patent No.10,937,164, titled “Medical Evaluation Machine Learning Workflows and Processes,” is designed as a broad patent to act as a crucial framework from which vRad will continue development of artificial intelligence (AI) technologies by leveraging our national radiology technology platform and the largest, most diverse radiology dataset.
“vRad continues to lead in technology innovation in the area of artificial intelligence and machine learning,” said Imad Nijim, Chief Information Officer for vRad. “We are focused on software innovation that improves our physicians’ experience, quality of our practice, and the health of our patients.”
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Through the continued workflow improvements enabled by this new patent, vRad will enhance the integrity of radiologic imaging data with machine learning and AI. For example, machine learning algorithms can extract image characteristics from radiological exams to drive improved clinical workflow. Metadata, such as body part or image orientation, is often inaccurate or completely missing. This has downstream impact on clinical documentation, display protocols, or even billing. With the vRad inference engine and AI models, metadata discrepancies can be identified, ensuring data integrity.
Using AI and machine learning, vRad will ensure clean data and drive workflow. Data integrity powered by this new patent will have profound implications on workflow efficiency, immediate impact on patient care and a systemic impact on the healthcare system.
vRad (Virtual Radiologic) is the nation’s leading teleradiology practice with 500+ U.S. board-certified or eligible physicians, the majority of whom are subspecialty trained. Our practice delivers high-quality diagnostic imaging services to more than 2,100 facilities and radiology groups across the United States. vRad has 23 issued patents for telemedicine and radiology technologies; and is a leading innovator in the areas of artificial intelligence, machine learning, imaging data analytics, and software to improve the quality of patient care, value for our clients, and the experience of our physicians.