Barts Health NHS Trust

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

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

2024 · 471 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.

Artificial intelligence, machine learning and the evolution of healthcare

Llion Jones, David E. Golan, Sammy A. Hanna et al.

2018 · 146 Zit.

Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models

Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra et al.

2023 · 85 Zit.

The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype

Musa Abdulkareem, Steffen E. Petersen

2021 · 73 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 · 67 Zit.

Artificial Intelligence Will Transform Cardiac Imaging—Opportunities and Challenges

Steffen E. Petersen, Musa Abdulkareem, Tim Leiner

2019 · 67 Zit.

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

Babak Saboury, Tyler Bradshaw, Ronald Boellaard et al.

2022 · 61 Zit.

Accuracy of Information given by ChatGPT for Patients with Inflammatory Bowel Disease in Relation to ECCO Guidelines

Martina Sciberras, Yvette Farrugia, Hannah Gordon et al.

2024 · 38 Zit.

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

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

2022 · 34 Zit.

Imaging, Health Record, and Artificial Intelligence: Hype or Hope?

M Mazzanti, E Shirka, Hortensia Gjergo et al.

2018 · 27 Zit.

Overview of trials on artificial intelligence algorithms in breast cancer screening – A roadmap for international evaluation and implementation

Thiemo J. A. van Nijnatten, Nicholas Roy Payne, Sarah Hickman et al.

2023 · 26 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.