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20232026
most citedFrom Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties

32 citations · 125 across the 7 of their papers we have counts for

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Showing 2024 · cs.CLShow all

5 papers · 2 filters

cs.CL2024★ 25 cited

Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors

Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin +16

Rare gynecological tumors (RGTs) present major clinical challenges due to their low incidence and heterogeneity. The lack of clear guidelines leads to suboptimal management and poo…

cs.CL2024★ 8 cited

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data

Felix J. Dorfner, Amin Dada, Felix Busch +8

Large language models (LLMs) have shown potential in biomedical applications, leading to efforts to fine-tune them on domain-specific data. However, the effectiveness of this appro…

cs.CL2024★ 27 cited

RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno Bressem +7

Large language models (LLMs) often generate outdated or inaccurate information based on static training datasets. Retrieval-augmented generation (RAG) mitigates this by integrating…

cs.CL2024★ 31 cited

Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports

Felix J. Dorfner, Liv Jürgensen, Leonhard Donle +11

Introduction: With the rapid advances in large language models (LLMs), there have been numerous new open source as well as commercial models. While recent publications have explore…

cs.CL2024★ 2 cited

LongHealth: A Question Answering Benchmark with Long Clinical Documents

Lisa Adams, Felix Busch, Tianyu Han +7

Background: Recent advancements in large language models (LLMs) offer potential benefits in healthcare, particularly in processing extensive patient records. However, existing benc…