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

Aidoc

In a world of labor shortages and imaging overloads, radiologists are seeking technological means to meet the hefty, unprecedented demands placed on their imaging departments. In this webinar clip, Jonathan Steinberger, MD, Vascular and Interventional Radiologist at Cedars-Sinai Medical Center Imaging group, walks us through Aidoc’s widget.

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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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Tackling Imaging Volumes Across a Health System with AI

Aidoc

Dushyant Sahani, Chair of Radiology at University of Washington Medicine, explains the rise of larger health systems, rising imaging demand and how AI empowers radiologists to manage it all across multiple facilities. Click here to view the entire webinar for free.

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Dr. Ezequiel Silva Receives Thorwarth Award for Radiology Leadership

Imaging Technology

milla1cf Tue, 05/09/2023 - 08:38 May 9, 2023 — The American College of Radiology ( ACR ) Economics and Health Policy Department has selected Ezequiel Silva III, MD, FACR, FSIR, FRBMA, RCC , as the 2023 recipient of the William T. Silva has been a leading voice for safe and effective healthcare before, during and after the COVID-19 pandemic.

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Improving Communication of Positive PE Alerts with AI at University of Washington Medicine

Aidoc

Sahani, Chair of Radiology at University of Washington Medicine, explains how the clinical teams leverage Aidoc AI to both flag suspected positive cases of PE and communicate them, once confirmed by a radiologist, to the entire PE response team to drive better collaboration on and reduce time to treatment.

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Improving Communication of Positive PE Alerts with AI at University of Washington

Aidoc

Sahani, Chair of Radiology at University of Washington Medicine, explains how clinical teams leverage Aidoc AI to both flag suspected positive cases of PE and communicate them, once confirmed by a radiologist, to the entire PE response team to drive better collaboration and reduce time to treatment.