Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography

2025/03/19 by Zhao Shi, Bin Hu, Mengjie Lu +23 · 2 voices · 1 citation
Medicine · #Artificial Intelligence in Healthcare and Education #Cerebrovascular and Carotid Artery Diseases #Intracranial Aneurysms: Treatment and Complications

paper · pdf · doi:10.1148/ryai.240140

openalex publication_date 2025/03/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22

Abstract

Radiologists assisted by the proposed sham–artificial intelligence (AI) model, acting as a placebo control for a standard-AI model to mitigate biases in intracranial aneurysm diagnosis, had noninferior sensitivity and specificity compared with radiologists alone.

Citations

• Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study
• Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the Radiology Editorial Board
• International evaluation of an AI system for breast cancer screening
• Deep Learning for Detecting Cerebral Aneurysms with CT Angiography

Cited by

• Establishing a Chain of Evidence for AI in Radiology: Sham AI and Randomized Controlled Trials

Discussions

• Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography https://doi.org/10.1148/ryai.240140 #ASCO25 #cancer #OncoRad #radiology [bsky, 5 points, 0 comments]
• Check out a recent Radiol Artif Intell article on radiology #AI: Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography https://doi.org/10.1148/ryai.24014 [bsky, 0 points, 0 comments]

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