Gerhard‐Paul Diller

Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients

2018 · 194 Zit. · European Heart Journal

Artificial Intelligence in Congenital Heart Disease

2022 · 50 Zit. · JACC Advances

Real world federated learning with a knowledge distilled transformer for cardiac CT imaging

2025 · 17 Zit. · npj Digital Medicine

A new approach to modelling in adult congenital heart disease: artificial intelligence

2021 · 6 Zit. · Revista Española de Cardiología (English Edition)

Artificial Intelligence, Technology and Remote Monitoring in Adults With Congenital Heart Disease

2025 · 0 Zit. · Elsevier eBooks

A multi-query, multimodal, receiver-augmented solution to extract contemporary cardiology guideline information using large language models

2025 · 0 Zit. · European Heart Journal - Digital Health

Is Artificial Intelligence the Missing Link Between Administrative Data and Complete Patient-Level Health Records?

2024 · 0 Zit. · JACC Advances