Automatic classification of radiological reports for clinical care-Reference-Cited by-同舟云学术

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Automatic classification of radiological reports for clinical care

Published:2018-09 Issue: Volume:91 Page:72-81
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Gerevini Alfonso Emilio,Lavelli Alberto,Maffi Alessandro,Maroldi Roberto,Minard Anne-Lyse,Serina Ivan,Squassina Guido

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference25 articles.

1. Natural language processing in radiology: a systematic review;Pons;Radiology,2016

2. A text processing pipeline to extract recommendations from radiology reports;Yetisgen-Yildiz;J Biomed Inform,2013

3. Semi-supervised clinical text classification with Laplacian SVMs: an application to cancer case management;Garla;J Biomed Inform,2013

4. Natural language processing based instrument for classification of free text medical records;Khachidze;BioMed Res Int,2016

5. Classifying tumor event attributes in radiology reports;Yim;J Assoc Inf Sci Technol,2017

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1. Language Models for Hierarchical Classification of Radiology Reports With Attention Mechanisms, BERT, and GPT-4;IEEE Access;2024

2. CCheXR‐Attention: Clinical concept extraction and chest x‐ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention;International Journal of Imaging Systems and Technology;2024-01

3. Multilingual RECIST classification of radiology reports using supervised learning;Frontiers in Digital Health;2023-06-14

4. Distilling Knowledge with a Teacher’s Multitask Model for Biomedical Named Entity Recognition;Information;2023-04-24

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