OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 28.03.2026, 07:46

NIHR Bristol Cardiovascular Biomedical Research Unit

2.036 Arbeiten184.110 Zitationen
Land: GBTyp: government

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Machine learning improves mortality risk prediction after cardiac surgery: Systematic review and meta-analysis

Umberto Benedetto, Arnaldo Dimagli, Shubhra Sinha et al.

2020 · 115 Zit.

Use of 3D models of congenital heart disease as an education tool for cardiac nurses

Giovanni Biglino, Claudio Capelli, Despina Koniordou et al.

2016 · 108 Zit.

Can machine learning improve mortality prediction following cardiac surgery?

Umberto Benedetto, Shubhra Sinha, Matthew Lyon et al.

2020 · 37 Zit.

A survey of retractions in the cardiovascular literature

Katia Audisio, N. Bryce Robinson, Giovanni Soletti et al.

2021 · 36 Zit.

Increased perioperative mortality following aprotinin withdrawal: a real-world analysis of blood management strategies in adult cardiac surgery

Graham J. Walkden, Veerle Verheyden, Rosalind Goudie et al.

2013 · 35 Zit.

Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database

Shubhra Sinha, Tim Dong, Arnaldo Dimagli et al.

2023 · 31 Zit.

The performance of large language models in intercollegiate Membership of the Royal College of Surgeons examination

Jeremy Chan, Tim Dong, Gianni D. Angelini

2024 · 14 Zit.

Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?

Adnan Qayyum, Muhammad Bilal, Muhammad N.S. Hadi et al.

2023 · 10 Zit.

Using digital tools in the recruitment and retention in randomised controlled trials: Survey of UK Clinical Trial Units and a qualitative study

Amanda Blatch-Jones, Jacqueline Nuttall, Abby Bull et al.

2019 · 5 Zit.

Performance drift is a major barrier to the safe use of machine learning in cardiac surgery

Tim Dong, Shubhra Sinha, Ben Zhai et al.

2023 · 4 Zit.

Machine learning for risk prediction of in-hospital mortality in adult cardiac surgery

Libor Myslivecek, Umberto Benedetto

2020 · 2 Zit.

1657 Systematic Review and Meta-Analysis of Mortality Risk Prediction Models in Adult Cardiac Surgery

Shubhra Sinha, Arnaldo Dimagli, Lauren Dixon et al.

2021 · 1 Zit.

PP20 Is red cell transfusion beneficial and safe after cardiac surgery? Intention-to-treat compared to instrumental variable analyses in the Transfusion Indication Threshold Reduction (TITRe2) randomised controlled trial (RCT)

Katie Pike, CA Rogers, Jonathan A C Sterne et al.

2014 · 0 Zit.

Using digital tools in the recruitment and retention in randomised controlled trials: Survey of UK Clinical Trial Units and a qualitative study

Amanda Blatch-Jones, Jacqueline Nuttall, Abby Bull et al.

2019 · 0 Zit.