Kristoffer Mazanti Cold

Kristoffer Mazanti Cold
University of Copenhagen · CAMES - Copenhagen Academy for Medical Education and Simulation

Doctor of Medicine

About

10
Publications
391
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23
Citations
Introduction
Finding objective assessment measures of endoscopic disciplines and utilize these to enhance medical education and performance.

Publications

Publications (10)
Article
Full-text available
Predicting factors of diagnostic yield in electromagnetic navigation bronchoscopy (ENB) have been explored in a number of previous studies based on data from experienced operators. However, little is known about predicting factors when the procedure is carried out by operators in the beginning of their learning curve. We here aim to identify the ro...
Article
Background: Motor skills have been identified as a useful measure to evaluate competency in bronchoscopy. However, no automatic assessment system of motor skills with a clear pass/fail criterion in flexible bronchoscopy exists. Objectives: The objective of the study was to develop an objective and automatic measure of motor skills in bronchoscop...
Article
Full-text available
Background: Flexible bronchoscopy is a core invasive procedure in pulmonary medicine and training in the procedure is mandatory. Diagnostic completeness and procedure time have been identified as useful measures of competence. No outcome measures have been developed regarding navigational path in bronchoscopy to assess whether the bronchial segmen...
Article
Background: Several studies have shown the beneficial effects of mastery learning of a simulation-based course, but not all trainees complete it. Objectives: The purpose of this study was to find deciding factors for the completion of a simulation-based mastery learning course with distributive practice in flexible bronchoscopy. Methods: Seven...
Article
Full-text available
In this issue of CHEST, Gerretsen et al 1 present a systematic review based on 14 studies exploring the use of simulation-based training (SBT) in teaching flexible bronchoscopy (FB) skills. This update is important because we need to train our future colleagues in an evidence-based way, just as we treat patients according to the best available evid...
Article
Full-text available
Background: Navigating through the bronchial tree and visualizing all bronchial segments is the initial step toward learning flexible bronchoscopy. A novel bronchial segment identification system based on artificial intelligence (AI) has been developed to help guide trainees toward more effective training. Research question: Does feedback from a...

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