Actively Recruiting

Age: 22Years +
All Genders
Healthy Volunteers
ID07438327

AI-CARE: Artificial Intelligence for Cardiovascular Analysis and Risk Evaluation - Clinical Evaluation of Aorta Automated Imaging Measurement (Aorta AIM)

Led by Aiatella Oy · Updated on 2026-04-06

250

Participants Needed

3

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are evaluating the accuracy and efficiency of an artificial intelligence (AI) software called Aorta AIM in measuring the size of the aorta, the body's main blood vessel, using CT scans. The study focuses on comparing Aorta AIM's automated measurements with those made manually by experienced radiologists or cardiologists. This research aims to improve how doctors monitor aortic enlargement, which can lead to serious health problems, by providing a consistent and faster measurement method. The study involves retrospectively collecting chest or abdominal CT scans from adults aged 22 and older taken as part of routine medical care between January 1, 2016, and August 31, 2025. These scans will be analyzed by both the Aorta AIM software and expert radiologists who manually measure aortic diameters. The software provides standardized measurements at specific anatomical locations, and any discrepancies between manual readers are resolved by a senior expert for an accurate reference standard. Participants have already undergone CT imaging, so no additional scans or procedures are required. Researchers will review the collected data to compare measurement accuracy, processing time, and clinical acceptability of the AI software against expert assessments. The main outcome is the average difference between AI and expert measurements. Secondary outcomes include agreement limits, measurement reliability, software yield, processing speed, and expert clinical acceptability scores. The study includes about 250 participants from multiple hospitals, with no risks since only existing images are used.

CONDITIONS

Brief Title

AI-CARE: Artificial Intelligence for Cardiovascular Analysis and Risk Evaluation

Who Can Participate

Age: 22Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Adults 2 years or older at time of imaging
  • CT imaging performed between January 1, 2016, and August 31, 2025
  • CT scans of whole, thoracic, or abdominal aorta with or without contrast
  • Slice thickness of 3 mm or less
  • CT scans with partial aortic coverage allowed except for regions with truncation
  • Metal implants less than 5 cm from the aorta
  • No severe motion artifacts (less than or equal to 3 mm vessel blurring)
Not Eligible

You will not qualify if you...

  • Truncation causing discontinuity preventing reliable diameter measurement in aortic regions
  • Prior aortic surgery
  • Severe motion artifacts exceeding 3 mm vessel blurring
  • Congenital aortic anomalies such as coarctation or vascular rings
  • Post-traumatic aortic repairs
  • Patient opted out of medical research data use before cross-referencing date

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person or remote) for eligibility confirmation

Diagnostic Evaluation

Duration - Single time point retrospective data collection

Participants' previously collected CT scans of the aorta are analyzed using investigational artificial intelligence software and expert radiologists to measure aortic diameters.

No additional visits; analysis performed on existing CT scans

Long-term Monitoring

Duration - Data collected from scans performed between January 1, 2016, and August 31, 2025

Participants who underwent routine clinical CT imaging are observed retrospectively for validation of automated aortic measurements compared to expert manual measurements.

No participant visits; observational data only

Trial Site Locations

Total: 3 locations

1

University of North Carolina at Chapel Hill

Chapel Hill, North Carolina, United States, 27599

Not Yet Recruiting

2

Innovation Health Services

Norfolk, Virginia, United States, 23510

Actively Recruiting

3

Hospital Israelita Albert Einstein

São Paulo, São Paulo, Brazil, 05652-900

Not Yet Recruiting

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Research Team

J

Jack Parker

S

Scott Flamm, MD

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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