Optimizing Clinical Data Availability: Extracting Pulmonary Embolism Diagnoses from Radiology Impressions with GPT-4o
Mohammed Mahyoub,
Kacie Dougherty,
Ajit Shukla
Abstract:Background: Pulmonary embolism (PE) is a life-threatening condition that requires timely diagnosis to reduce mortality. Radiology reports, particularly the Impression sections, play a critical role in diagnosing PE. However, manually extracting this information from large volumes of reports is challenging. This study aims to develop an advanced natural language processing (NLP) system using GPT-4o to automatically extract PE diagnoses from radiology report impressions, enhancing clinical workflows and decision… Show more
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