# Generation of Standardized E-Learning Contents from Digital Medical Collections

arXiv: https://arxiv.org/abs/2501.12794 · HTML: https://mlsanity.com/paper/2501.12794/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 22 references that are in the map.
- First posted on arXiv 22 Jan 2025.

## Built on by (most cited first, 1 of 1)

- [Generation of reusable learning objects from digital medical collections: An analysis based on the MASMDOA framework](https://mlsanity.com/paper/2501.13806/) (2025)

## Abstract (arXiv)

In this paper, we describe an approach to transforming the huge amount of medical knowledge available in existing online medical collections into standardized learning packages ready to be integrated into the most popular e-learning platforms. The core of our approach is a tool called Clavy, which makes it possible to retrieve pieces of content in medical collections, to transform this content into meaningful learning units, and to export it in the form of standardized learning packages. In addition to describing the approach, we demonstrate its feasibility by applying it to the generation of IMS content packages from MedPix, a popular online database of medical cases in the domain of radiology.