GenAI Assisting Medical Training

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Fritsch, Stefan, Tschoepe, Matthias, Rey, Vitor Fortes, Krupp, Lars, Gruenerbl, Agnes, Monger, Eloise, Travenna, Sarah
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866929553909219328
author Fritsch, Stefan
Tschoepe, Matthias
Rey, Vitor Fortes
Krupp, Lars
Gruenerbl, Agnes
Monger, Eloise
Travenna, Sarah
author_facet Fritsch, Stefan
Tschoepe, Matthias
Rey, Vitor Fortes
Krupp, Lars
Gruenerbl, Agnes
Monger, Eloise
Travenna, Sarah
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_16164
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle GenAI Assisting Medical Training
Fritsch, Stefan
Tschoepe, Matthias
Rey, Vitor Fortes
Krupp, Lars
Gruenerbl, Agnes
Monger, Eloise
Travenna, Sarah
Artificial Intelligence
Computation and Language
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.
title GenAI Assisting Medical Training
topic Artificial Intelligence
Computation and Language
url https://arxiv.org/abs/2410.16164