Nottingham City Hospital

Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme

Yan Chen, Adnan Taib, Iain Darker et al.

2023 · 27 Zit.

ChatGPT sits the DFPH exam: large language model performance and potential to support public health learning

Nathan Davies, Robert J. Wilson, Madeleine S Winder et al.

2024 · 21 Zit.

Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging—A systematic review

Nikesh Jathanna, Anna Podlasek, Albert Sokol et al.

2021 · 16 Zit.

Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise

Ata Mohajer-Bastami, Sarah Moin, Suhaib Ahmad et al.

2025 · 9 Zit.

Artificial General Intelligence and Its Threat to Public Health

Richard Armitage

2025 · 3 Zit.

ChatGPT sits the DFPH exam: large language model performance and potential to support public health learning

Nathan Davies, Robert J. Wilson, Madeleine S Winder et al.

2023 · 3 Zit.

Performance of generative pre-trained Transformer-4 (GPT-4) in RCOG diploma-style questions

Richard Armitage

2024 · 3 Zit.

Response to Sun and Colleagues: Charting a Simpler Ethical Landscape of Generative AI‐Augmented Clinical Documentation

Richard Armitage

2025 · 1 Zit.

The evaluation of artificial intelligence in mammography-based breast cancer screening: Is breast-level analysis enough?

Adnan Taib, George John William Partridge, Luyan Yao et al.

2025 · 1 Zit.

Keeping AI on Track: Regular monitoring of algorithmic updates in mammography

Adnan Taib, Jonathan J. James, George Partridge et al.

2025 · 1 Zit.

Performance across different versions of an artificial intelligence model for screen-reading of mammograms

Marthe Larsen, Christoph I. Lee, Marie Burns Bergan et al.

2026 · 0 Zit.

The Declaration of Helsinki Must Address the Challenges of Artificial Intelligence

Richard Armitage

2025 · 0 Zit.

State-of-the-Art Machine Learning Models for Detecting and Mitigating Disparities in Healthcare

Yuan Shen, Mufti Mahmud, Teena Rai et al.

2026 · 0 Zit.

Potential for Editorial Committee Use of Large Language Models in Peer Review

Richard Armitage

2025 · 0 Zit.

Corrigendum to “Keeping AI on Track: Regular monitoring of algorithmic updates in mammography” [Eur. J. Radiol. 187 (2025) 112100]

Adnan Taib, Jonathan J. James, George Partridge et al.

2025 · 0 Zit.