Federated Deep Learning of TAVI Outcomes

Federated Deep Learning of TAVI Outcomes - FLOTO

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00039641

Enrollment

5000

Registered

2026-03-18

Start date

2021-07-01

Completion date

Unknown

Last updated

2026-03-30

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

Conditions

Transcatheter Aortic Valve Implantation (TAVI) I35.0 Z95.2 T82.0

Interventions

Group 1: Retrospective analysis of patients who underwent TAVI implantation between 01/2015 and 06/2025, for whom specific data modalities (preoperative CT scans, ECGs, IQTIG quality assurance data, O

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients who underwent TAVI implantation between 01/2015 and 06/2025, for whom specific data (preoperative CT scans, ECG, IQTIG quality assurance data, OPS codes, echocardiography findings, postoperative vital signs, etc.) are available retrospectively.

Exclusion criteria

Exclusion criteria: No additional criteria

Design outcomes

Primary

Measure	Time frame
Research objective: To evaluate and improve the predictive accuracy of machine learning methods for determining appropriate prosthesis sizes and types, as well as potential postoperative complications (e.g., permanent pacemaker dependence)	—

Countries

Germany, Netherlands

Contacts

Public ContactYannik Frisch

Medizinische Fakultät Heidelberg

yannik.frisch@med.uni-heidelberg.de+49 6221 56672

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Apr 4, 2026