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Evaluating an artificial intelligence tool for measuring the aorta from computed tomography (CT) scans

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN12897963
Enrollment
225
Registered
2026-05-06
Start date
2026-05-11
Completion date
Unknown
Last updated
2026-05-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aortic pathology, including aneurysm and dissection Circulatory System

Interventions

Retrospective CT studies from adult patients who underwent routine clinical aortic imaging at three NHS Trusts in England between January 2016 and August 2025 are identified and pseudonymised by the l

Sponsors

AIATELLA Oy
Lead Sponsor

Eligibility

Sex/Gender
All
Age
22 Years to 120 Years

Inclusion criteria

Inclusion criteria: 1. Adults =22 years at time of imaging 2. Imaging performed 1 Jan 2016 – 31 Aug 2025 3. CT imaging of the whole, thoracic, or abdominal aorta, with or without contrast enhancement 4. Slice thickness =3mm

Exclusion criteria

Exclusion criteria: 1. Metal implants 3mm vessel blurring) 4. Congenital aortic anomalies (e.g. coarctation, vascular rings) 5. Post-traumatic aortic repairs 6. Patient opted-out of having their data used for medical research via the NHS ‘National patient opt-out scheme’ before the date of cross-referencing by the site team

Countries

England, United Kingdom

Contacts

Public ContactJack Parker
jack@aiatella.com+358 4578313729

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: May 22, 2026