Liverpool Heart and Chest Hospital

Artificial intelligence and cardiac surgery during COVID‐19 era

Raveena Kaur Khalsa, Arwa Khashkhusha, Sara Zaidi et al.

2021 · 22 Zit.

Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project

Hanna Kwiendacz, Bi Huang, Yang Chen et al.

2025 · 17 Zit.

Bridging the Gap Between Artificial Intelligence Research and Clinical Practice in Cardiovascular Science: What the Clinician Needs to Know

Emily Shipley, Martha Joddrell, Gregory Y.H. Lip et al.

2022 · 8 Zit.

Development and External Validation of a Mixed-Effects Deep Learning Model to Diagnose COVID-19 from CT Imaging

Joshua Bridge, Yanda Meng, Wenyue Zhu et al.

2022 · 2 Zit.

Digital Twins for Predictive Modelling of Thrombosis and Stroke Risk: Current Approaches and Future Directions

Adelaide de Vecchi, Oscar Camara, R Cavarra et al.

2026 · 1 Zit.

Finding the right home for your radiology article: a useful tool

Paulius Šimkus, H. Edwards, Audra Banišauskaitė et al.

2021 · 0 Zit.

Development and external validation of a mixed-effects deep learning model to diagnose COVID-19 from CT imaging

Joshua Bridge, Yanda Meng, Wenyue Zhu et al.

2023 · 0 Zit.

Intelligent monitoring to predict atrial fibrillation (NOTE-AF): clinical study 1 for the ‘Health virtual twins for the personalised management of stroke related to atrial fibrillation (TARGET)’ project – a protocol for a prospective cohort analysis

H Essa, Brian Johnston, Gregory Y H Lip et al.

2026 · 0 Zit.

Prediction models for incident stroke in the community: a systematic review and meta-analysis of predictive performance

Mohammad Haris, Elizabeth Romer, Tanina Younsi et al.

2025 · 0 Zit.

Prediction of major outcomes in patients with malignant hypertension using machine learning: A report from the West Birmingham malignant hypertension registry

Antonis Argyris, Hironori Ishiguchi, Yang Chen et al.

2025 · 0 Zit.