Clinical trial Recruiting at 21 sites Interventional Ages 18 and up

Blinded randomized test of an AI tool to find brain aneurysms on head CTA

Official title: Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patients' Diagnosis and Outcomes: The IDEAL Study - A Web-Based Multicenter, Double-Blinded Randomized Controlled Trial

Run by Jinling Hospital, China · NCT06118840 · Data updated 2026-11-12

This trial will test whether an AI tool that helps read head CT angiograms can improve detection of brain aneurysms in adults having CTA scans.

More Intracranial Aneurysm trials

Quick facts

Study typeInterventional
Ages18 Years and up
SexAll
Enrollment6450 (estimated)
SponsorJinling Hospital, China
Academic / other
Locations21 sites (Hefei, Anhui and 20 other locations)
StatusRecruiting
StartedMay 20, 2024
Main results expectedJuly 2026
Study endsDecember 2026
Registry record updatedOctober 7, 2025
Trial IDNCT06118840 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults scheduled for head CTA at a participating site who can give informed consent and do not have CTA contraindications or very severe baseline disability are eligible.

Probably not a fit

People under 18, those with contraindications to CTA, patients with incomplete or poor-quality CTA images, or those with a modified Rankin Scale score >3 are excluded and would not receive benefit from this intervention.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a multicenter, prospective, double-blind randomized trial enrolling more than 6,450 adults who undergo head CT angiography at 21 hospitals across more than 10 provinces in China. Patients' CTA images are randomized 1:1 to a True-AI–aided diagnostic workflow or a Sham-AI workflow (sham has near-zero sensitivity but similar specificity), with both patients and radiologists blinded to allocation. The primary outcomes are sensitivity and specificity for detecting intracranial aneurysms, and secondary outcomes include detection of other intracranial lesions, interpretive workload, downstream resource use and treatments, 12-month imaging follow-up, patient quality of life, aneurysm-related events, and cost-effectiveness. The trial is designed to measure both diagnostic performance and the short- and long-term impact of integrating AI into routine CTA practice.

Why it matters

Potential benefit: If successful, the AI approach could help clinicians detect more aneurysms earlier and reduce missed diagnoses, potentially improving treatment decisions and patient outcomes.

How similar studies have gone: Previous retrospective and observational studies have shown AI can improve aneurysm detection on CTA, but prospective double-blind randomized evaluations of clinical impact are uncommon.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Adult inpatients and outpatients who are scheduled for head CTA scanning.

Exclusion Criteria:

* Age under 18 years.
* Patients with contraindications to CTA.
* Modified Rankin Scale (mRS) score \> 3.
* Refuse to sign informed consent.
* Participation in other clinical studies of intracranial aneurysms.
* Patients with failed head CTA scanning or incomplete image data, or poor image quality.

Where it's running

  • The First Affiliated Hospital of University of Science and Technology of China
    Hefei, Anhui, China
    Recruiting
  • The First Affiliated Hospital of Wannan Medical College
    Wuhu, Anhui, China
    Recruiting
  • Guizhou Provincial People's Hospital
    Guiyang, Guizhou, China
    Recruiting
  • First Affiliated Hospital of Zhengzhou University
    Zhengzhou, Henan, China
    Recruiting
  • Shiyan People's Hospital
    Shiyan, Hubei, China
    Recruiting
  • Research Institute Of Medical Imaging Jinling Hospital
    Nanjing, Jiangsu, China
    Recruiting
Show 15 more locations
  • Affiliated Hospital of Xuzhou Medical University
    Xuzhou, Jiangsu, China
    Recruiting
  • The First Hospital of Jilin University
    Changchun, Jilin, China
    Recruiting
  • Shandong Provincial Hospital Affiliated to Shandong First Medical University
    Jinan, Shandong, China
    Recruiting
  • Yidu Central Hospital Affiliated to Shandong Second Medical University
    Weifang, Shandong, China
    Recruiting
  • The First Affiliated Hospital of Kunming Medical University
    Kunming, Yunnan, China
    Recruiting
  • Hainan General Hospital
    Haikou, China
    Recruiting
  • The First People's Hospital of Kashgar Region
    Kashgar, China
    Recruiting
  • University Second Hospital
    Lanzhou, China
    Recruiting
  • First People's Hospital of Lianyungang
    Lianyungang, China
    Recruiting
  • Ma'anshan People's Hospital
    Ma’anshan, China
    Recruiting
  • BenQ Medical Center, Affiliated BenQ Hospital of Medical School, Nanjing Medical University
    Nanjing, China
    Recruiting
  • Long Gang Central Hospital of Shenzhen
    Shenzhen, China
    Recruiting
  • The Affiliated Suqian First Hospital of Nanjing Medical University
    Suqian, China
    Recruiting
  • Tianjin Medical University General Hospital
    Tianjin, China
    Recruiting
  • General Hospital of Ningxia Medical University
    Yinchuan, China
    Recruiting

Study contacts

  • Principal investigator: Trial Manager — Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University
  • Study coordinator: Longjiang Zhang, MD
  • Email: kevinzhlj@163.com
  • Phone: +8613405833176

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.