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Teleradiology & AI— An Interview with vRad (Virtual Radiologic), US’s Leading Teleradiology Firm скачать в хорошем качестве

Teleradiology & AI— An Interview with vRad (Virtual Radiologic), US’s Leading Teleradiology Firm 3 years ago

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Teleradiology & AI— An Interview with vRad (Virtual Radiologic), US’s Leading Teleradiology Firm
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Teleradiology & AI— An Interview with vRad (Virtual Radiologic), US’s Leading Teleradiology Firm

Imad B Nijim, Chief Information Officer, and Brian Baker, Director of Software Engineering of vRad (Virtual Radiologic) spoke with Chiranjiv Singh of Qure.ai on how turnaround time plays a big part in their business growth, client satisfaction, and patient care. "We've had consistent turnaround times for the last year, and AI technology has helped tremendously to achieve that." - Imad B. Nijim about vRad's use of artificial intelligence in adding tremendous value to radiologists and patients. vRad (Virtual Radiologic) is the USA's leading teleradiology practice providing quality patient care and industry-leading turnaround times. Their 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 their clients, and the experience of their physicians. In this interview, Imad and Brian discuss how AI has helped prioritize worklists and achieve consistent turnaround times. They also share a story about how artificial intelligence was able to alert the clinicians about the seriousness of a patient treated in a rural hospital in Iowa. Timelines: Introduction to the speakers and their interests – 0:01 – 3:48 How has teleradiology evolved over the years – 3:49 – 8:29 The engineering to assist radiologists and clinicians - 8:30 – 15:20 The response to AI at vRad – 15:21 – 19:53 Measuring metrics to determine the impact on end customers - 19:54 – 24:30 Cases when adoption of AI has impacted patient care - 24:31 – 28:56 Surprising insights noticed while using AI solutions - 28:57 – 36:58 Predictions on the post-Covid world – 36:59 – 39:38

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