One of the most innovative educational resources in the field, Radiology 2.0
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 incredible series is
available to the medical community at no charge whatsoever.
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. Once again, it is completely free and provided as a resource for medical education.
Volume 1. One Night in the ED:
This teaching file is designed to introduce you to the CT appearance of basic Emergency Room pathology. Currently, this volume contains cases of common acute thoracic, abdominal, and pelvic pathologies. 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.
This volume includes over 7,000 high-quality images and hundreds of pages of html text.
Dr. Daniel Cornfeld is an Assistant Professor of Diagnostic Radiology at Yale
University School of Medicine.
NOTE- This edition has been optimized for the iPad. We have designed a
completely separate edition specifically for the iPhone and iTouch. Please download the appropriate version for your device for best performance.
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