Article

Diagnostic Performance of Expert Physicians Versus General-Purpose Artificial Intelligence Using Standardized Static Coronary CT Images: A Dual-Reference Validation Study

2026-04-05

Abstract excerpt

<title>Abstract</title> <p> Background: Coronary CT angiography (CCTA) is a first-line diagnostic modality for coronary artery disease (CAD), yet its interpretation requires significant expert experience. Although general-purpose multimodal artificial intelligence (GP-AI) models have shown promise in text-based medical tasks, their visual diagnostic performance in evaluating complex CCTA data remains poorly defi...

Topics

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

Identifiers and source

Literature Corpus work: 0305efca-943d-5a6b-b527-ab684d70cdd2
DOI: 10.21203/rs.3.rs-9135888/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Diagnostic Performance of Expert Physicians Versus General-Purpose Artificial Intelligence Using Standardized Static Coronary CT Images: A Dual-Reference Validation StudyDOI 10.21203/rs.3.rs-9135888/v1Read

Diagnostic Performance of Expert Physicians Versus General-Purpose Artificial Intelligence Using Standardized Static Coronary CT Images: A Dual-Reference ValidationSemantic proximity Read

Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.Semantic proximity Read

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

GPT-4V(ision) Unsuitable for Clinical Care and Education: A Clinician-Evaluated AssessmentSemantic proximity Read

Artificial Intelligence and Intravascular Imaging in Interventional Cardiology: A Scoping ReviewSemantic proximity Read

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

Bridging the Gap: Explainability Metrics for AI Image-Based Clinical DiagnosticsSemantic proximity Read

Artificial Intelligence in Radiology: Why Retrospective Performance Does Not Ensure Clinical UtilitySemantic proximity Read

Anatomical Accuracy of Generative AI for Congenital Heart Disease Illustrations: Gemini NanoBanana Versus ChatGPT Models in a Blinded Comparative StudySemantic proximity Read

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

Evaluation of Advanced Artificial Intelligence Algorithms' Diagnostic Efficacy in Acute Ischemic Stroke: A Comparative Analysis of ChatGPT-4o and Claude 3.5 Sonnet ModelsSemantic proximity Read

From CCTA to Surgical Strategy: An Integrated AI Framework for Patient-Specific Coronary artery bypass grafting PlanningSemantic proximity Read