Autonomous Robotics for Transcatheter Cardiac Procedures
ARTERY
1 other identifier
observational
401
1 country
1
Brief Summary
Cardiovascular diseases represent the most common cause of death worldwide. Percutaneous approaches with intravascular catheters are pivotal, since they allow to treat patients with high perioperative risks. However, catheter-based treatments require steep learning curves and are characterized by poor ergonomics and exposure to damaging radiation. ARTERY will offer a radiation-free approach based on shared-autonomy robotic catheters, with increased user engagement and easy interaction. Intraprocedural three-dimensional echocardiography as well as computed tomography images obtained during usual clinical practice will provide artificial intelligence algorithms that will turn catheter navigation to a simple task. Optical and electromagnetic sensing techniques will ensure a superior view upon the cardiovascular anatomy and will guide the autonomous catheter upon the interventionist supervision, who will be able to take over control at any instant.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2021
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 26, 2021
CompletedFirst Posted
Study publicly available on registry
March 9, 2021
CompletedStudy Start
First participant enrolled
March 15, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 21, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 21, 2024
CompletedAugust 17, 2025
August 1, 2025
3.2 years
February 26, 2021
August 12, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Identification of key procedural elements that will benefit from the technological developments introduced by ARTERY by collecting intraprocedural images
Number of patients undergoing percutaneous cardiac procedures
Intraoperative period
Study Arms (1)
Percutaneous cardiac procedures
Patients undergoing percutaneous cardiac procedures
Interventions
Collection and analysis of intraprocedural information to provide artificial intelligence algorithms
Eligibility Criteria
Candidates to percutaneous cardiac defects repair
You may qualify if:
- adult patients
- patients admitted to hospital undergoing percutaneous cardiac procedure
- patients able to give informed consent
You may not qualify if:
- age \<18 years
- refuse to give informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Università Vita-Salute San Raffaelelead
- Politecnico di Milanocollaborator
- Scuola Superiore di Studi Universitari e di Perfezionamento Sant'Annacollaborator
- KU Leuvencollaborator
- SwissVortexcollaborator
- Artiness SRLcollaborator
- FBGScollaborator
- IRCCS Ospedale San Raffaelecollaborator
Study Sites (1)
Università Vita-Salute San Raffaele
Milan, MI, 20132, Italy
Related Publications (1)
Munafo R, Saitta S, Tondi D, Ingallina G, Denti P, Maisano F, Agricola E, Votta E. Automatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach. Med Biol Eng Comput. 2025 Jan 11. doi: 10.1007/s11517-024-03275-w. Online ahead of print.
PMID: 39797996BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD, Associate Professor
Study Record Dates
First Submitted
February 26, 2021
First Posted
March 9, 2021
Study Start
March 15, 2021
Primary Completion
May 21, 2024
Study Completion
June 21, 2024
Last Updated
August 17, 2025
Record last verified: 2025-08