Aidoc
JANUARY 19, 2024
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.
Aidoc
MAY 21, 2024
How did Cedars-Sinai carve their path to clinical AI adoption across service lines? 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.” Click here to view the full webinar.
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Aidoc
MAY 21, 2024
How did Cedars-Sinai carve their path to clinical AI adoption across service lines? 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.” Click here to view the full webinar.
Aidoc
JUNE 6, 2024
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.
Aidoc
JANUARY 11, 2024
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. The post What Does AI Look Like in an Enterprise Radiology Workflow?
Imaging Technology
JUNE 20, 2023
milla1cf Tue, 06/20/2023 - 20:04 June 20, 2023 — Medality , the leading practice development platform for radiologists and imaging organizations, today announced the release of its 2023 Radiology Practice Development Report. The report reveals that radiologists are reading across an average of 4.7
Aidoc
OCTOBER 26, 2023
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.
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