Article

The Expertise Paradox: Who Benefits from LLM-Assisted Brain MRI Differential Diagnosis?

2025-10-28

Abstract excerpt

<h4>Purpose: </h4> To evaluate how reader experience influences the diagnostic benefit from LLM assistance in brain MRI differential diagnosis. Materials and Methods Neuroradiologists (n = 4), radiology residents (n = 4), and neurology/neurosurgery residents (n = 4) were recruited. A dataset of complex brain MRI cases was curated from the local imaging database (n = 40). For each case, readers provided a textual...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: da0f1e43-6d1c-558a-b24e-4cfd1f1e6794
DOI: 10.1101/2025.10.28.25338816

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

The Expertise Paradox: Who Benefits from LLM-Assisted Brain MRI Differential Diagnosis?DOI 10.1101/2025.10.28.25338816Read

More Harm than Help? Evaluating the Capabilities of Vision-Language Models in Neurological Image AnalysisSemantic proximity Read

Impact of Multimodal Prompt Elements on Diagnostic Performance of GPT-4(V) in Challenging Brain MRI CasesSemantic proximity Read

Prompt Engineering Strategies Improve the Diagnostic Accuracy of GPT-4 Turbo in Neuroradiology CasesSemantic proximity Read

The Effect of LLM Assistance on Diagnostic Accuracy: A Meta-AnalysisSemantic proximity Read

Performance of Open-Source LLMs in Challenging Radiological Cases – A Benchmark Study on 1,933 Eurorad Case ReportsSemantic proximity Read

Comparative Analysis of GPT-4Vision, GPT-4 and Open Source LLMs in Clinical Diagnostic Accuracy: A Benchmark Against Human ExpertiseSemantic proximity Read

OpenPFx: Evaluating the Ability of LLMs to Create Patient-Friendly Explanations of Radiological Incidental FindingsSemantic proximity Read

Diagnostic Performance of Large Language Models and Radiologists in Case-Based Radiology QuestionsSemantic proximity Read

Assessing AI and Neurologist Diagnostic Reasoning Against Neuropathological Ground TruthSemantic proximity Read

RAD-CaseBookLLM-08: An open-access dataset of structured large language model–generated radiology differential diagnosis teachingsSemantic proximity Read

RAD-CaseBookLLM-08: An open-access dataset of structured large language model–generated radiology differential diagnosis teachingsSemantic proximity Read

Enhancing Medical Imaging Diagnostics Through Large Language Model-Based Knowledge IntegrationSemantic proximity Read