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Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports
Recent advancements in large language models (LLMs) have created new ways to support
radiological diagnostics. While both open-source and proprietary LLMs can address privacy …
radiological diagnostics. While both open-source and proprietary LLMs can address privacy …
Data Extraction from Free-Text Stroke CT Reports Using GPT-4o and Llama-3.3-70B: The Impact of Annotation Guidelines
J Wihl, E Rosenkranz, S Schramm, C Berberich… - medRxiv, 2025 - medrxiv.org
Purpose To evaluate the performance of LLMs in extracting data from stroke CT reports in
the presence and absence of an annotation guideline. Methods In this study, performance of …
the presence and absence of an annotation guideline. Methods In this study, performance of …
Boosting LLM-Assisted Diagnosis: 10-Minute LLM Tutorial Elevates Radiology Residents' Performance in Brain MRI Interpretation
Purpose To evaluate the impact of a structured tutorial on the use of a large language model
(LLM)-based search engine on radiology residents' performance in LLM-assisted brain MRI …
(LLM)-based search engine on radiology residents' performance in LLM-assisted brain MRI …
Performance of Open-Source LLMs in Challenging Radiological Cases–A Benchmark Study on 4,049 Eurorad Case Reports
Background Recent advancements in large language models (LLMs) have created new
ways to support radiological diagnostics. While both open-source and proprietary LLMs can …
ways to support radiological diagnostics. While both open-source and proprietary LLMs can …