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The Next Generation of Radiologists and Clinical AI

Aidoc

In a recent webinar about the evolution of imaging AI, Ryan K. Lee, MD, MBA, Chair, Department of Diagnostic Radiology, Einstein Healthcare Network – Jefferson Health, shared his perspective on how the next generation of radiologists may expand clinical AI use cases.

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What An Imaging AI Early Adopter Says About Measuring Clinical Impact

Aidoc

A common question prior to healthcare AI adoption is, “how do you measure its impact?” In a recent webinar about the evolution of imaging AI, early adopter Ryan K. The post What An Imaging AI Early Adopter Says About Measuring Clinical Impact appeared first on Healthcare AI | Aidoc Always-on AI.

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How Does Aidoc’s Radiology Solution Alert and Inform Clinicians?

Aidoc

In this webinar clip, Jonathan Steinberger, MD, Vascular and Interventional Radiologist at Cedars-Sinai Medical Center Imaging group, walks us through Aidoc’s widget. The above video is a clip from the webinar, “Revolutionizing Healthcare with AI: Unveiling Cedars-Sinai Medical Center’s Insights and Impact on PERT with Aidoc.”

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Opportunities for Artificial Intelligence in Radiology

Aidoc

Dushyant Sahani, Chair of Radiology at University of Washington Medicine, explains the priorities of health systems in increasing clinical efficiency and the opportunities that lay ahead for radiology by integrating artificial intelligence into radiological workflows. Click here to watch the full webinar.

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The Journey to Enterprise-Wide Clinical AI at University of Washington Medicine

Aidoc

Dushyant Sahani, Chair of Radiology at University of Washington Medicine, as he explains the timeline of growing from deployment of AI for acute findings like PE and ICH in the emergency department to adding more algorithms and expanding the use of other care activation solutions like PERT AI.

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What Does AI Look Like in an Enterprise Radiology Workflow?

Aidoc

Dushyant Sahani, Chair of Radiology at University of Washington Medicine, explains how radiology AI is deployed across the enterprise and how the radiologists use AI at their workstations to help improve clinical efficiency. Click here to view the full webinar. appeared first on Healthcare AI | Aidoc Always-on AI.

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Who Should Pay for Imaging AI?

Aidoc

In this clip from the webinar, “How it Started vs. How it’s Going: AI Early Adopters Discuss how the Technology has Changed Practice,” Ryan K. Lee, MD, MBA, Chair, Department of Diagnostic Radiology, Einstein Healthcare Network – Jefferson Health, provided perspectives on clinical AI reimbursement and funding.

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