[HTML][HTML] Surgical data science–from concepts toward clinical translation
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 …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
Clinical applications of artificial intelligence in robotic surgery
Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical
field, robotic surgery is the sector with some of the most innovative and impactful …
field, robotic surgery is the sector with some of the most innovative and impactful …
Towards holistic surgical scene understanding
Most benchmarks for studying surgical interventions focus on a specific challenge instead of
leveraging the intrinsic complementarity among different tasks. In this work, we present a …
leveraging the intrinsic complementarity among different tasks. In this work, we present a …
CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, actions performed, and
target anatomies is becoming a gold standard approach for surgical activity modeling. The …
target anatomies is becoming a gold standard approach for surgical activity modeling. The …
Surgical tool datasets for machine learning research: a survey
M Rodrigues, M Mayo, P Patros - International Journal of Computer Vision, 2022 - Springer
This paper is a comprehensive survey of datasets for surgical tool detection and related
surgical data science and machine learning techniques and algorithms. The survey offers a …
surgical data science and machine learning techniques and algorithms. The survey offers a …
A large-scale study of spatiotemporal representation learning with a new benchmark on action recognition
The goal of building a benchmark (suite of datasets) is to provide a unified protocol for fair
evaluation and thus facilitate the evolution of a specific area. Nonetheless, we point out that …
evaluation and thus facilitate the evolution of a specific area. Nonetheless, we point out that …
CPR-Coach: Recognizing composite error actions based on single-class training
Fine-grained medical action analysis plays a vital role in improving medical skill training
efficiency but it faces the problems of data and algorithm shortage. Cardiopulmonary …
efficiency but it faces the problems of data and algorithm shortage. Cardiopulmonary …
Evaluating the task generalization of temporal convolutional networks for surgical gesture and motion recognition using kinematic data
K Hutchinson, I Reyes, Z Li… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Fine-grained activity recognition enables explainable analysis of procedures for skill
assessment, autonomy, and error detection in robot-assisted surgery. However, existing …
assessment, autonomy, and error detection in robot-assisted surgery. However, existing …
Artificial intelligence for biomedical video generation
As a prominent subfield of Artificial Intelligence Generated Content (AIGC), video generation
has achieved notable advancements in recent years. The introduction of Sora-alike models …
has achieved notable advancements in recent years. The introduction of Sora-alike models …
Integrating artificial intelligence and augmented reality in robotic surgery: An initial dvrk study using a surgical education scenario
Robot-assisted surgery has become progressively more and more popular due to its clinical
advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic …
advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic …