2016/10/13 by S. Swaroop Vedula, Masaru Ishii, Vedula, S. Swaroop +3
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Cardiac, Anesthesia and Surgical Outcomes #Computers and Society (cs.CY) #FOS: Computer and information sciences #Surgical Simulation and Training #cs.CY
paper · pdf · doi:10.48550/arxiv.1610.04276
Workshop on Surgical Data Science, Heidelberg, Germany, June 20, 2016
arxiv created 2016/10/13 · openalex publication_date 2016/10/13 · arxiv updated 2016/10/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The availability of large amounts of data together with advances in analytical techniques afford an opportunity to address difficult challenges in ensuring that healthcare is safe, effective, efficient, patient-centered, equitable, and timely. Surgical care and training stand to tremendously gain through surgical data science. Herein, we discuss a few perspectives on the scope and objectives for surgical data science.