Radiology 2.0: One Night in the ED
With its 2010 release, "Radiology 2.0: One Night in the ED," became the first radiology teaching file to simulate reading scans at a PACS workstation. Now it is updated for ...
With its 2010 release, "Radiology 2.0: One Night in the ED," became the first radiology teaching file to simulate reading scans at a PACS workstation. Now it is updated for modern devices and operating systems.
presents teaching files in a way not previously seen; the 2.0 denotes the next generation in interactive radiology education. Radiology 2.0 is a series of cases that allow the user to simulate reading CT scans at a PACS workstation. Extensive discussions following each case include labeled images that highlight pathologies and relevant findings. Rather than use static images to teach specific diagnoses, Radiology 2.0 uses stacks of CT images to actually teach the reader how to approach and interpet CT scans. This is
available to the medical community at no charge whatsoever. No subscriptions or in-app purchases.
This intuitive teaching file series is perfect for Radiology residents preparing for call, medical students in Radiology, and other physicians interested in learning how to interpret images. All of the extensive content is contained within the app for offline viewing. You can now learn Radiology on-the-go and in the palm of your hand, even with a few minutes spare time throughout the day.
Volume 1. One Night in the ED:
This teaching file is designed to introduce you to the CT appearance of basic Emergency Room pathology. Each case is presented as a complete CT scan that you can scroll through as if at a PACS workstation. Each case is then discussed in an interactive format. Important findings are highlighted with arrows, circles, and colorful schematics. Multiple examples of each type of pathology are presented so you can learn by repetition. Varied appearances of similar diagnoses are included. The first case in each section has a comprehensive description of the featured disorder. Subsequent cases utilize shorter descriptions and focus on the pertinent findings.
Dr. Daniel Cornfeld is a consultant radiologist at Haoura Tairawhiti in Gisborne, New Zealand. Prior to that he was an Associate Professor of Diagnostic Radiology at Yale University School of Medicine. The narratives contain his opinions (based on the medical literature) and reflect the way he would teach if you were one of his students. The information in this app does NOT constitute medical advice and is meant to compliment and augment, not replace, pre- or co-existing medical education. Neither Haoura Tairawhiti nor Yale University School of Medicine have officially endorsed this content.
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