Liverpool Heart and Chest Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation: comparing common clinical risk scores and machine learning algorithms
Gregory Y.H. Lip, George Tran, Ash Genaidy et al.
2021 · 58 Zit.
Acute ischemic stroke management: concepts and controversies.A narrative review
Ka Hou Christien Li, Aaron Jesuthasan, Christopher Kui et al.
2020 · 26 Zit.
Artificial intelligence and cardiac surgery during COVID‐19 era
Raveena Kaur Khalsa, Arwa Khashkhusha, Sara Zaidi et al.
2021 · 22 Zit.
Incident and recurrent myocardial infarction (MI) in relation to comorbidities: Prediction of outcomes using machine‐learning algorithms
Gregory Y.H. Lip, Ash Genaidy, George Tran et al.
2022 · 9 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.
Artificial intelligence and digital twins for the personalised prediction of hypertension risk
Akhil Naik, Jakub Nalepa, Agata M. Wijata et al.
2025 · 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
Hani 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.