KiMED – a Generative Artificial Intelligence Tool to Support the Individualized Learning Process of Medical Students

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]

Institutions

Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds122
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

KiMED – a Generative Artificial Intelligence Tool to Support the Individualized Learning Process of Medical Students

German Medical Science (German Research Foundation)
Artificial Intelligence in Healthcare and Education
article

KiMED – a Generative Artificial Intelligence Tool to Support the Individualized Learning Process of Medical Students

article en

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]

German Medical Science (German Research Foundation)
Universität Hamburg (DE), University Medical Center Hamburg-Eppendorf (DE)
Quality Education
Openalex Percentile: Top 50%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

KiMED – a Generative Artificial Intelligence Tool to Support the Individualized Learning Process of Medical Students · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS