Robotic General Surgery

Robotic General Surgery
Summary
both online and offline: •Anytime, anywhere access – study on the go with 100% offline access to your downloaded title •Margin notes – make annotations as you are reading •Read aloud – listen and follow along as your book is read to you •Workbook – improve your focus as you edit notes, add bookmarks, and review key concepts in one place •Global search – search across book content, figures, and your workbook Meeting the need for a practical, data-driven reference in this rapidly advancing field, Robotic General Surgery, edited by Drs. Yuman Fong, Alessio Pigazzi, Loretta Erhunmwunsee, Dina Podolsky, and Dana Dale Portenier, presents state-of-the-art content for surgeons at all levels of training and expertise. Section One covers the history, platforms, and the organization, operating room architecture, and training issues revolving around robotic surgery; Section Two contains more than two-dozen discipline-based chapters outlining common robotic procedures in general surgery. • Provides up-to-date discussions of current robotic platforms; imaging and display in robotic surgery, including contrast agents and augmented reality; the robotic team; emergencies in robotic surgery; and more • Contains well-illustrated, discipline-based coverage of hernia surgery, bariatric surgery, upper GI surgery, colorectal surgery, hepato-pancreato-biliary surgery, and thoracic, endocrine, and urologic/gynecologic procedures • Provides numerous tables of evidence that summarize emerging, outcome-supported data on the advantages of robotic surgery in terms of safety and benefits to patients • Serves as an authoritative guide for residents and fellows in training, a reference for the surgeons active in robotic surgery, and a primer for senior surgeons adapting these new technologies to their current practice Enrich Your eBook 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.