Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis

Abstract The analysis of medical imaging reports is labour-intensive but crucial for accurate diagnosis and effective patient screening. Often presented as unstructured text, these reports require systematic organisation for efficient interpretation. This study applies Natural Language Processing (N...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Luis B. Elvas, Rafaela Santos, João C. Ferreira
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Subjects:	Natural Language processing (NLP) Data mining Language models Healthcare Named entity recognition (NER)
Online Access:	https://doi.org/10.1038/s41598-025-05695-6