Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Healthcare in general, and surgery/interventional care in particular, is evolving through rapid
advances in technology and increasing complexity of care, with the goal of maximizing the …

Interventional healthcare will evolve from an artisanal craft based on the individual
experiences, preferences and traditions of physicians into a discipline that relies on …

Surgical data science (SDS) aims to improve the quality of interventional healthcare and its
value through the capture, organization, analysis, and modeling of procedural data. As data …

Annotation of surgical video is important for establishing ground truth in surgical data
science endeavors that involve computer vision. With the growth of the field over the last …

Today's medical imaging systems produce a huge amount of images containing a wealth of
information. However, the information is hidden in the data and image analysis algorithms …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …

Artificial intelligence (AI), especially deep learning, has the potential to fundamentally alter
clinical radiology. AI algorithms, which excel in quantifying complex patterns in data, have …

The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …