2017/01/31 by Lena Maier-Hein, Swaroop Vedula, Stefanie Speidel +22 · 3 citations
Computer Science · #cs.CY
paper · pdf · doi:10.1038/s41551-017-0132-7
published as Nature Biomedical Engineering 2017 · 10 pages, 2 figures, White paper corresponding to http://www.surgical-data-science.org/workshop2016
arxiv created 2017/01/31 · arxiv updated 2018/05/17
This paper introduces Surgical Data Science as an emerging scientific discipline. Key perspectives are based on discussions during an intensive two-day international interactive workshop that brought together leading researchers working in the related field of computer and robot assisted interventions. Our consensus opinion is that increasing access to large amounts of complex data, at scale, throughout the patient care process, complemented by advances in data science and machine learning techniques, has set the stage for a new generation of analytics that will support decision-making and quality improvement in interventional medicine. In this article, we provide a consensus definition for Surgical Data Science, identify associated challenges and opportunities and provide a roadmap for advancing the field.