Purpose Analyzing surgical activities has received a growing interest in recent years.
Several methods have been proposed to identify surgical activities and surgical phases from …

Identifying and recognizing the workflow of surgical interventions is a field of growing
interest. Several methods have been developed to identify intra-operative activities, detect …

Purpose Surgical phase recognition using sensor data is challenging due to high variation
in patient anatomy and surgeon-specific operating styles. Segmenting surgical procedures …

Purpose Surgical workflow estimation techniques aim to divide a surgical video into
temporal segments based on predefined surgical actions or objectives, which can be of …

The field of surgical work-flow fosters the formalization and acquisition of surgical task
descriptions from real-time surgical interventions to support clinical and technical analysis …

The department of surgery is the core unit of the patient care system within a hospital. Due to
continuous technical and medical developments, such departments are equipped with …

The assessment and evaluation of surgical skills require a considerable amount of time and
effort. Currently, the assessment is accomplished by either observing a recorded video from …

Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …

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 …

In this paper, we present robust methods for automatically segmenting phases in a specified
surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) …