GenAI Assisting Medical Training
Stefan Fritsch, Matthias Tschoepe, Vitor Fortes Rey, Lars Krupp, Agnes, Gruenerbl, Eloise Monger, Sarah Travenna

TL;DR
This paper explores the use of generative AI to enhance medical training by providing real-time feedback on procedures like venipuncture, aiming to improve skill acquisition and reduce educator workload.
Contribution
It introduces a novel AI-based system for real-time feedback in medical training, addressing challenges in teaching complex procedures.
Findings
AI system successfully provides real-time feedback
Improves student skill acquisition efficiency
Reduces educator workload
Abstract
Medical procedures such as venipuncture and cannulation are essential for nurses and require precise skills. Learning this skill, in turn, is a challenge for educators due to the number of teachers per class and the complexity of the task. The study aims to help students with skill acquisition and alleviate the educator's workload by integrating generative AI methods to provide real-time feedback on medical procedures such as venipuncture and cannulation.
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Taxonomy
TopicsBiomedical and Engineering Education
