Publications by authors named "Christiane Haeffle"
Article Synopsis
- Researchers created an automated deep learning system to assess tricuspid regurgitation (TR) from echocardiography data, aiming for accurate diagnosis without manual evaluation.
- The study analyzed over 47,000 echocardiogram studies, achieving high accuracy in detecting TR, with an area under the curve (AUC) indicating excellent performance for both moderate and severe cases in various datasets.
- This automation could enhance clinical practice by providing reliable, consistent TR assessments, potentially improving screening and monitoring for patients.
