Predicting Mortality after Transcatheter Aortic Valve Replacement using Preprocedural CT [Scientific Reports 2024]
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May 5, 2026 - Python
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tavi
Here are 4 public repositories matching this topic...
This project aims to improve endovascular procedures like TAVI using robotic assistance. It focuses on real-time path-planning algorithms and ultrasonic and electromagnetic sensors to enhance catheter navigation, aiming to increase surgical success rates and minimise long-term side effects.
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Nov 4, 2023 - C++
ISSI BARBASH WEBSITE
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Apr 11, 2026 - TypeScript
Interpretable machine learning framework for predicting mid-term mortality and major periprocedural complications after transcatheter aortic valve implantation (TAVI) using pre-procedural clinical, echocardiographic, CT, and cusp-specific aortic valve calcium topography data. Includes reproducible survival and classification pipelines following TRI
machine-learning scikit-learn medical-imaging survival-analysis radiology calcium computed-tomography tavi cardiology explainable-ai shap cardiovascular-medicine scikit-survival tavr aortic-valve transcatheter-aortic-valve-implantation
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Jul 10, 2026 - Python
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