ClinicalTrials.gg
RecruitingNCT07438327AI-CAREUpdated Apr 6, 2026

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

An observational study in Aortic Aneurysm, Aortic Aneurysm Abdominal and Aortic Aneurysm and Dissection, sponsored by Aiatella Oy. Recruiting at 3 sites in 2 countries. Open to participants aged 22 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-06.

Primary conditionAortic Aneurysm, ThoracoabdominalRegistry: Aortic AneurysmReclassifiedWhy we changed it
Registry
Aortic Aneurysm — the first condition term the registry derived for this study.
ClinicalTrials.gg
Aortic Aneurysm, Thoracoabdominal
Why
  1. The study's listed conditions name Aortic Aneurysm, Thoracoabdominal, a narrower term within Aortic Aneurysm.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by Aiatella Oy · Observational

From the registry’s dates

  • Started Mar 2026; still recruiting 7 months later.
Study type
Observational
Model
Case-only
Time perspective
Retrospective
Enrollment
250
Ages
22 Years and older
Sex
All
01

Study summary

This study will test how well an artificial intelligence (AI) software called Aorta AIM measures the size of the aorta (the body's main blood vessel) from CT scans. The aorta can become enlarged over time, which may lead to serious health problems. Doctors need to measure the aorta accurately to monitor patients and decide on treatment.

Currently, doctors measure the aorta manually on CT scans, which takes time and can vary between different doctors. Aorta AIM is designed to measure the aorta automatically and consistently.

In this study, researchers will compare Aorta AIM's measurements to those made by experienced radiologists or cardiologists (doctors who specialize in reading medical images). The study will use CT scans that have already been taken as part of routine medical care - no additional scans or procedures are needed.

The study will include approximately 250 participants across multiple hospitals in Brazil and the United States. Participants will be adults who have had a chest or abdominal CT scan that shows their aorta.

The main goals are to:

  • Check if Aorta AIM measures the aorta as accurately as radiologists
  • See if Aorta AIM can help doctors work more efficiently
  • Evaluate if the software works well in different hospital settings and with different types of patients

This research may help improve how doctors monitor aortic disease and make treatment decisions in the future. There are no risks to participants since the study only uses existing medical images.

02

Conditions studied

  • Aortic Aneurysm
  • Aortic Aneurysm Abdominal
  • Aortic Aneurysm and Dissection
  • Aortic Aneurysm, Thoracoabdominal
03

In context

Aortic Aneurysm, Thoracoabdominal Reclassified

63 studies on the registry are indexed under Aortic Aneurysm, Thoracoabdominal; 31 are open to participants now.

This study's planned enrollment of 250 is above the median of 100 across 20 observational studies indexed under Aortic Aneurysm, Thoracoabdominal.

Browse Aortic Aneurysm, Thoracoabdominal studies →

Lead sponsor

This is the only study on the registry with Aiatella Oy as lead sponsor.

Compared within Aortic Aneurysm, Thoracoabdominal, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Aortic Aneurysm. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
22 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Adult patients (≥22 years of age) who underwent CT imaging of the aorta (whole, thoracic, or abdominal) as part of routine clinical care between January 1, 2016 and August 31, 2025. CT scans must include imaging of the aorta with or without contrast enhancement and have slice thickness ≤3mm. Patients with metal implants within 5cm of the aorta, prior aortic surgery, severe motion artifacts, congenital aortic anomalies, or post-traumatic aortic repairs are excluded. Patients who opted out of having their data used for medical research are also excluded. Retrospectively collected, de-identified CT imaging data from approximately 250 cases across multiple international sites in the United States and Latin America will be analyzed.

Eligibility criteria

  • Adults ≥22 years at time of imaging
  • Studies performed 1 Jan 2016 - 31 August 2025
  • CT imaging of the whole, thoracic, or abdominal aorta, with or without contrast enhancement, acquired with any gating protocol (including non-gated)
  • Slice thickness ≤ 3mm
  • CT imaging in which truncation creates discontinuity within a targeted aortic region, preventing reliable diameter measurement (e.g., cardiac-focused CT acquisitions where an incomplete or absent aortic arch creates discontinuity between the aortic root and the descending thoracic aorta)

    o Partial aortic coverage is not grounds for exclusion. Where truncation affects individual regions, only those specific regions will be excluded from analysis; remaining fully captured regions will be retained for measurement.

  • Metal implants \<5cm from aorta (e.g. thoracic stent)
  • Prior aortic surgery
  • Severe motion artifacts (e.g. >3mm vessel blurring)
  • Congenital aortic anomalies (e.g. coarctation, vascular rings)
  • Post-traumatic aortic repairs
  • The patient opted out of having their data used for medical research before the date of cross-referencing by the site team
05

Study design

Observational model
Case-only
Time perspective
Retrospective
Enrollment
250 participants (estimated)
Patient registry
No

Groups and cohorts

  • Validation Cohort

    Adults who have undergone chest or abdominal CT imaging (with or without contrast) as part of routine clinical care. CT scans will be retrospectively collected and processed by both Aorta AIM software and expert radiologists to validate automated aortic diameter measurements.

    Diagnostic Test: Aorta AIM Automated Measurement · Diagnostic Test: Expert Radiologist Manual Measurement

Interventions

  • Diagnostic testAorta AIM Automated Measurement

    Aorta AIM is an investigational artificial intelligence software that automatically measures aortic diameters from CT imaging. The software analyzes retrospectively collected CT scans and generates standardized aortic diameter measurements at anatomically defined locations. These automated measurements will be compared to manual measurements performed by expert radiologists.

    Also known as: Aorta AIM

  • Diagnostic testExpert Radiologist Manual Measurement

    Manual aortic diameter measurements performed independently by two board-certified or equivalently experienced radiologists (minimum 5 years of cardiovascular imaging experience), each blinded to the other's measurements. Where the difference between the two reads does not exceed 3mm, the mean serves as the ground truth. Where the difference exceeds 3mm, a third senior reader performs independent adjudication, blinded to both primary reads. These consensus measurements serve as the reference standard for validation

06

What researchers measure

Primary outcomes

  1. Mean Absolute Error (MAE) between Aorta AIM measurements and expert reference standard

    Mean Absolute Error (MAE) between aortic diameter measurements generated by Aorta AIM version 1.0 and the reference standard established by board-certified or equivalently experienced radiologists and/or cardiologists. Reference standard established through dual independent blinded reads with adjudication by a third senior reader where required. MAE will be calculated across all anatomical regions of the aorta assessed in the study. Acceptance criterion: MAE ≤ 5.0mm

    Time frame: At time of CT scan analysis (single time point, retrospective data collection from studies performed January 1, 2016 through August 31, 2025)

Secondary outcomes

  1. Bland-Altman Limits of Agreement

    Bland-Altman analysis to determine the limits of agreement between Aorta AIM automated measurements and expert manual measurements, providing assessment of systematic bias and random variation between the two measurement methods established through dual independent blinded reads with adjudication

    Time frame: At time of CT scan analysis (single time point, retrospective data collection from studies performed January 1, 2016 through August 31, 2025)

  2. Intraclass Correlation Coefficient (ICC)

    Intraclass Correlation Coefficient assessing the reliability and agreement between Aorta AIM automated measurements and expert manual measurements across all anatomical regions of the aorta established through dual independent blinded reads with adjudication

    Time frame: At time of CT scan analysis (single time point, retrospective data collection from studies performed January 1, 2016 through August 31, 2025)

  3. Yield

    Proportion of cases with valid ground truth for which Aorta AIM produces evaluable measurements at all predefined anatomical landmarks

    Time frame: At time of CT scan analysis (single time point, retrospective data collection from studies performed January 1, 2016 through August 31, 2025)

  4. Processing time

    Time required for Aorta AIM software to process CT scans and generate automated aortic diameter measurements, measured in seconds or minutes from image input to final measurement output.

    Time frame: At time of CT scan analysis (single time point, retrospective data collection from studies performed January 1, 2016 through August 31, 2025)

  5. Qualitative clinical acceptability scores by expert readers

    Expert radiologist assessment of the clinical acceptability of Aorta AIM automated measurements using standardized scoring criteria. Readers will evaluate whether automated measurements are suitable for clinical decision-making purposes. Clinical Acceptability Scale (0-2): 0 = Not Acceptable, 1 = Acceptable, 2 = Perfect. Higher scores indicate better outcome.

    Time frame: At time of CT scan analysis (single time point, retrospective data collection from studies performed January 1, 2016 through August 31, 2025)

07

Study locations

1 of 3 sites recruiting
  • University of North Carolina at Chapel Hill
    Chapel Hill, North Carolina 27599, United States
    Not yet recruiting
    • Dr. Behrooz Masuodi · Contact919-962-2211
    • Dr. Behrooz Masuodi · Principal investigator
  • Innovation Health Services
    Norfolk, Virginia 23510, United States
    Recruiting
    • Dr. Huma Samar, MD · Contactinfo@ihsmd.org · 888-784-4763
    • Dr. Huma Samar · Principal investigator
  • Hospital Israelita Albert Einstein
    São Paulo, São Paulo 05652-900, Brazil
    Not yet recruiting
    • Dr. Henrique Lee, MD · Contactsac@einstein.br · +55 (11) 2151-0222
    • Dr. Henrique Lee · Principal investigator
08

References and documents

Individual participant data

Plan to share: No — This is a retrospective medical device validation study using de-identified CT imaging data. Individual participant data cannot be shared due to patient privacy protections, institutional data use agreements, and proprietary algorithm considerations. Aggregate study results, including device performance metrics and statistical analyses, will be made publicly available through peer-reviewed publication and regulatory submissions.

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Mar 2026 (actual). Primary completion is estimated for Aug 2026, 4 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Feb 23, 2026
First posted
Feb 27, 2026
StartActual
Mar 31, 2026
Primary completionEst.
Aug 30, 2026
CompletionEst.
Sep 5, 2026
Last update
Apr 6, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 6, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07438327
Lead sponsor
Aiatella Oy
Responsible party
Sponsor
First posted
Feb 27, 2026
Start date
Mar 31, 2026
Primary completion
Aug 30, 2026 (estimated)
Completion
Sep 5, 2026 (estimated)
Last update
Apr 6, 2026

Study contacts

Jack Parker
Contact
jack@aiatella.com
4578313729 ext. 358
Scott Flamm, MD
Contact
Jack Parker
study director · Aiatella Oy
Scott Flamm
principal investigator · SimonMed Imaging

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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