St Bartholomew's Hospital

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al.

2024 · 458 Zit.

Impact of the coronavirus (COVID-19) pandemic on scientific research and implications for clinical academic training – A review

Catrin Sohrabi, Ginimol Mathew, Thomas Franchi et al.

2021 · 222 Zit.

Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation

Esther Puyol‐Antón, Bram Ruijsink, Jorge Mariscal Harana et al.

2022 · 66 Zit.

Barriers to recruitment for surgical trials in head and neck oncology: a survey of trial investigators

Geetinder Kaur, Iain Hutchison, Hisham Mehanna et al.

2013 · 65 Zit.

Improving the digital health of the workforce in the COVID-19 context: an opportunity to future-proof medical training

Yang Chen, Amitava Banerjee

2020 · 34 Zit.

Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging

Liliána Szabó, Zahra Raisi‐Estabragh, Ahmed Salih et al.

2022 · 33 Zit.

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

Esther Puyol‐Antón, Bram Ruijsink, Stefan K. Piechnik et al.

2021 · 24 Zit.

Image‐Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers

Ahmed Salih, Esmeralda Ruiz Pujadas, Víctor M. Campello et al.

2023 · 23 Zit.

Large Language Models in Oncology: Revolution or Cause for Concern?

Aydin Caglayan, Wojciech Slusarczyk, Rukhshana Dina Rabbani et al.

2024 · 21 Zit.

PROTEUS: A Prospective RCT Evaluating Use of AI in Stress Echocardiography

Ross Upton, Ashley P. Akerman, Thomas H. Marwick et al.

2024 · 17 Zit.

Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-based Segmentation

Esther Puyol‐Antón, Bram Ruijsink, Jorge Mariscal Harana et al.

2021 · 13 Zit.

Deep learning in congenital heart disease imaging: hope but not haste

Rhodri Davies, Sonya V. Babu‐Narayan

2020 · 8 Zit.

Explainable Artificial Intelligence in Paediatric: Challenges for the Future

Ahmed Salih, Gloria Menegaz, Thillagavathie Pillay et al.

2024 · 5 Zit.

Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementation

James P. Howard, Qiang Zhang, Ahmed Salih et al.

2025 · 3 Zit.

Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world Data

Tobias Roeschl, Marie Hoffmann, Djawid Hashemi et al.

2024 · 2 Zit.