Article

Performance of Vision-Language Models for Zero-Shot Lung Nodule Detection on Chest Radiographs

2026-06-03

Abstract excerpt

<h4>Background and Objectives</h4> The ability of vision-language models (VLMs) to detect lung nodules on chest radiographs remains uncertain. This retrospective study aimed to compare the zero-shot performances of six VLMs for lung nodule detection using data from the Japanese Society of Radiological Technology (JSRT) chest radiograph database. <h4>Methods</h4> A total of 247 chest radiographs from the JSRT dat...

Topics

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

Identifiers and source

Literature Corpus work: 0e7e5d03-a0df-529f-a0fb-680669a38805
DOI: 10.64898/2026.05.31.26354565

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Performance of Vision-Language Models for Zero-Shot Lung Nodule Detection on Chest RadiographsDOI 10.64898/2026.05.31.26354565Read

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

Automated ACR TI-RADS Classification of Thyroid Nodules from Narrative Ultrasound Reports Using a Fine-Tuned Open-Source Language Model: A Reproducible and Low-Resource FrameworkSemantic proximity Read

Limitations in Chest X‐Ray Interpretation by Vision‐Capable Large Language Models, Gemini 1.0, Gemini 1.5 Pro, GPT‐4 Turbo, and GPT‐4oSemantic proximity Read

Empowering Radiologists with ChatGPT-4o: Comparative Evaluation of Large Language Models and Radiologists in Cardiac CasesSemantic proximity Read

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

Domain specific models outperform large vision language models on cytomorphology tasksSemantic proximity Read

Ensemble Self Supervised and Meta Learning for Few Shot Pneumonia Detection from Chest RadiographsSemantic proximity Read

Evaluating the performance of large language & visual-language models in cervical cytology screeningSemantic proximity Read

Evaluating Conversational Image Segmentation for Medicine: Performance, Failure Modes, and a Fairness Audit Across Seven ModalitiesSemantic proximity Read

Assessing GPT-4 Multimodal Performance in Radiological Image AnalysisSemantic proximity Read

AI-Assisted Pneumonia Detection, Localisation and Report Generation from Chest X-raysSemantic proximity Read

Board-Level Performance of Leading Open-Weight Vision-Language Models on the Japanese Diagnostic Radiology Board Examination: Reasoning, Image-Input, and Language EffectsSemantic proximity Read