KiMED – a Generative Artificial Intelligence Tool to Support the Individualized Learning Process of Medical Students
Year: 2025
Type: conference-paper
Abstract: Introduction: Large Language Models (LLMs) are transforming medical education, influencing teaching methodologies [ref:1], assisting medical writing [ref:2], and personalizing learning material [ref:3], [ref:4], among others. Techniques like Retrieval-Augmented [for full text, please go to the a.m. URL]
DOI: 10.3205/25gmds122
Authors: Credidio, Graziella, Größler, Michael, Düsterbeck, Lilly Marie, Löhndorf, Anke, Eisenbarth, Sophie, Guse, Andreas H., Riemann, Layla Tabea
Institution: University Medical Center Hamburg-Eppendorf
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
SDG: Quality education
Open Access status: green
Funder: Claussen-Simon-Stiftung
OpenAlex ID: W7103900289
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