The Digital Echo Atlas: A Multimedia Reference

Selected as a 2023 Doodys Core Title! 

The Digital Echo Atlas:: A Multimedia Reference is a first-of-its-kind imaging resource made up of extensive and innovative digital content accompanied by a print book that provides a brief overview of topics and cases, with icons that quickly guide you to the digital material. The text, written by Dr. Stephen D. Clements of Emory University, provides expert clinical guidance and offers real-world cases throughout, ensuring that this unique resource package is a go-to learning and reference tool useful for cardiology fellows, practitioners, cardiac sonographers, nurse practitioners, physician assistants, and residents. It can also be used as a mobile teaching tool on rounds or in the classroom.

The digital content available through the digital version bundled with the text, contains expanded chapters and includes::
• Hundreds of topics with accompanying echo clips, images, and figures
• Multi-modality imaging of many conditions; MRI, EKG, and CT scans covering the entire heart structure and the full range of cardiovascular abnormalities, where relevant
• The opportunity to easily view more than 1000 echo clips as they would appear in the lab, including those you may not encounter regularly
• Case presentations that offer a better understanding of particular conditions and how they should be approached

In the companion book, youll find highly illustrated, full-color coverage which is enhanced by the digital material available through the digital version bundle. The print volume is both a quick clinical reference and a useful guide to the wealth of digital content, as well as a source of practical information such as transducer maneuvers, ASE guidelines, Abbreviations, fundamentals of producing an echocardiogram, and case presentations.
Enhance Your digital version Reading Experience::

• Read directly on your preferred device(s), such as computer, tablet, or smartphone.
• Easily convert to audiobook, powering your content with natural language text-to-speech.