Abstract
This work proposes an approach based on Large
Language Models (LLMs) for creating digital collections from
free-text medical reports. The approach uses instruct LLMs to
extract relevant clinical terms from these reports, as well as to
catalog them using the extracted terms. The cataloged reports
are then integrated into a digital collection management
platform, enabling further curation by clinical experts. To
confirm the feasibility of the approach, we used various models
associated with DeepSeek, as well as a coding model developed
by Alibaba, and the experimental Clavy reconfigurable
collection management platform to handle the resulting
collections. The preliminary evaluation results demonstrate the
feasibility of the approach, even without relying on external
services that could compromise data privacy in real-world
scenarios, or on particularly expensive dedicated hardware.
