Computational health informatics in the big data age: a survey
The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …
of research activity in the healthcare and data sciences fields. The conventional approaches …
Surgical process modelling: a review
Purpose Surgery is continuously subject to technological and medical innovations that are
transforming daily surgical routines. In order to gain a better understanding and description …
transforming daily surgical routines. In order to gain a better understanding and description …
[HTML][HTML] Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark
Purpose Surgical workflow and skill analysis are key technologies for the next generation of
cognitive surgical assistance systems. These systems could increase the safety of the …
cognitive surgical assistance systems. These systems could increase the safety of the …
Statistical modeling and recognition of surgical workflow
In this paper, we contribute to the development of context-aware operating rooms by
introducing a novel approach to modeling and monitoring the workflow of surgical …
introducing a novel approach to modeling and monitoring the workflow of surgical …
[書籍][B] Visual computing for medicine: theory, algorithms, and applications
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …
and their applications in medical diagnosis, education, and treatment. The book includes …
An introduction to robotically assisted surgical systems: current developments and focus areas of research
J Klodmann, C Schlenk, A Hellings-Kuß, T Bahls… - Current Robotics …, 2021 - Springer
Abstract Purpose of Review Robotic assistance systems for diagnosis and therapy have
become technically mature and widely available. Thus, they play an increasingly important …
become technically mature and widely available. Thus, they play an increasingly important …
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
Background Personalized medicine requires the integration and analysis of vast amounts of
patient data to realize individualized care. With Surgomics, we aim to facilitate personalized …
patient data to realize individualized care. With Surgomics, we aim to facilitate personalized …
Toward a standard ontology of surgical process models
Purpose The development of common ontologies has recently been identified as one of the
key challenges in the emerging field of surgical data science (SDS). However, past and …
key challenges in the emerging field of surgical data science (SDS). However, past and …
Surgical procedure management systems and methods
Systems and methods for tracking a surgical tool. Exemplary embodiments can comprise a
surgical port, a tracking ele ment configured for coupling to a surgical tool, and a camera …
surgical port, a tracking ele ment configured for coupling to a surgical tool, and a camera …
[HTML][HTML] Classification of surgical processes using dynamic time war**
In the creation of new computer-assisted intervention systems, Surgical Process Models
(SPMs) are an emerging concept used for analyzing and assessing surgical interventions …
(SPMs) are an emerging concept used for analyzing and assessing surgical interventions …