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Video-based machine learning to evaluate echocardiographic examinations

Video-based machine learning to evaluate echocardiographic examinations

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00030383
Enrollment
100000
Registered
2023-02-24
Start date
2023-08-01
Completion date
Unknown
Last updated
2025-04-07

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

Conditions

cardiovascular disease

Interventions

Group 1: To investigate the possibility of predicting cardiovascular diseases, the precision of diagnostics and the individualisation of therapy

Sponsors

Universitäts-Herzzentrum Freiburg-Bad Krozingen
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: All patients treated for cardiovascular diagnoses at the University Hospital Freiburg.

Exclusion criteria

Exclusion criteria: none

Design outcomes

Primary

MeasureTime frame
Prediction and early detection of cardiovascular diseases. Risk adjustment for cardiovascular diseases. Possibilities for individualised therapy.

Secondary

MeasureTime frame
no outcome study

Countries

Germany

Contacts

Public ContactValentin Gabelmann

Universitäts-Herzzentrum Freiburg-Bad Krozingen

valentin.gabelmann@uniklinik-freiburg.de+49766127034010

Outcome results

None listed

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