Papers by Asfandyar Azhar

2 papers
Automated Structured Radiology Report Generation (2025.acl-long)

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Challenge: Existing models struggle to produce consistent, clinically meaningful reports and standard evaluation metrics fail to capture the nuances of radiological interpretation.
Approach: They propose to reformulate free-text radiology reports into a standardized format, ensuring clarity, consistency, and structured clinical reporting.
Outcome: The proposed task reformulates free-text radiology reports into a standardized format, ensuring clarity, consistency, and structured clinical reporting.
Structuring Radiology Reports: Challenging LLMs with Lightweight Models (2025.emnlp-main)

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Challenge: Radiology reports lack a standardized format, limiting both interpretability and machine learning applications.
Approach: They propose to use lightweight encoder-decoder models for structuring radiology reports . they compare models with eight open-source LLMs with prompting and in-context learning .
Outcome: The proposed models outperform eight open-source LLMs on a human-annotated test set.

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