Healthcare Radiologist Webinar 
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
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.
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Aidoc
MAY 21, 2024
In this webinar clip, Jonathan Steinberger, MD, Vascular and Interventional Radiologist at Cedars-Sinai Medical Center Imaging group, explains the renowned facility’s timeline of AI adoption and working with Aidoc, growing from limited use cases (ICH, PE, C-Spine FX) to an enterprise wide system and EPIC integration. “We
Aidoc
MAY 21, 2024
In this webinar clip, Jonathan Steinberger, MD, Vascular and Interventional Radiologist at Cedars-Sinai Medical Center Imaging group, explains the renowned facility’s timeline of AI adoption and working with Aidoc, growing from limited use cases (ICH, PE, C-Spine FX) to an enterprise wide system and EPIC integration. “We
Aidoc
MARCH 11, 2024
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.
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. appeared first on Healthcare AI | Aidoc Always-on AI.
Aidoc
APRIL 21, 2024
This may create the perception that all AI in healthcare is the same. Grouping AI technology together like this doesn’t help people implementing AI differentiate between the different types of AI in healthcare – what they do, how they work and, ultimately, how they can impact patient care and provider experience. What is AI?
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