Article

Performance of GPT-4V(ision) in Ophthalmology: Use of Images in Clinical Questions

2024-01-28

Abstract excerpt

<h4>Background/aims</h4> To compare the diagnostic accuracy of Generative Pre-trained Transformer with Vision (GPT)-4 and GPT-4 with Vision (GPT-4V) for clinical questions in ophthalmology. <h4>Methods</h4> The questions were collected from the “Diagnosis This” section on the American Academy of Ophthalmology website. We tested 580 questions and presented GPT-4V with the same questions under two conditions: 1) mul...

Topics

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

Identifiers and source

Literature Corpus work: fd8685b5-0a4f-5896-81c8-cc576b369628
DOI: 10.1101/2024.01.26.24301802

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Performance of GPT-4V(ision) in Ophthalmology: Use of Images in Clinical QuestionsDOI 10.1101/2024.01.26.24301802Read

Performance of Multimodal GPT-4V on USMLE with Image: Potential for Imaging Diagnostic Support with ExplanationsSemantic proximity Read

Comparative Analysis of Multimodal Large Language Models GPT-4o and o1 vs Clinicians in Clinical Case Challenge QuestionsSemantic proximity Read

Evaluating General Vision-Language Models for Clinical MedicineSemantic proximity Read

FFA-GPT: an Interactive Visual Question Answering System for Fundus Fluorescein AngiographySemantic proximity Read

Open-source DeepSeek-R1 Outperforms Proprietary Non-Reasoning Large Language Models With and Without Retrieval-Augmented GenerationSemantic proximity Read

GlaucoRAG: A Retrieval-Augmented Large Language Model for Expert-Level Glaucoma AssessmentSemantic proximity Read

Performance of Generative Pretrained Transformer on the National Medical Licensing Examination in JapanSemantic proximity Read

Evaluating the Diagnostic Performance of GPT-4o in Glaucoma: A Comparative Study with Human OphthalmologistsSemantic proximity Read

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

Assessing ChatGPT's Performance in Delineating Uveitis: An analysis of responses to real-world case presentationsSemantic proximity Read

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

Comparative Performance of General-Purpose Large Language Models and a Specialized Clinical AI Tool on OKAP-Style Ophthalmology QuestionsSemantic proximity Read