Anne Line Risgaard on Muck Rack

Anne Line Risgaard

As seen in: Taylor & Francis Online
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Articles

Enabling micro-assessments of skills in the simulated setting using temporal artificial intelligence-models

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By Iben Bang Andersen, Christian Danstrup, Tobias Todsen, Anne Line Risgaard
| Taylor & Francis Online
Abstract Background Assessing skills in simulated settings is resource-intensive and lacks validated metrics. Advances in AI offer the potential for automated competence assessment, addressing these limitations. This study aimed to develop and validate a machine learning AI model for automated evaluation during simulation-based thyroid ultrasound (US) training. Methods Videos from eight experts and 21 novices performing thyroid US on a simulator were analyzed.
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