Fellows have opportunities to publish academically during NHS Fellowship in Clinical AI, particularly relating to their AI project.
Explore the fellowship-related publications of our fellows below.
| Fellow |
Publication |
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Using Artificial Intelligence to Stratify Normal versus Abnormal Chest X-rays— External Validation of a Deep Learning Algorithm at East Kent Hospitals University NHS Foundation Trust
Diagnostics, 13(22) 2023; 13(22):3408 |
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Deploying artificial intelligence software in an NHS trust— a how-to guide for clinicians
British Journal of Radiology, Volume 97, Issue 1153, January 2024 |
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Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation— study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)
BMJ Open 2024;14:e078227 |
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The time is now— making the case for a UK registry of deployment of radiology artificial intelligence applications
Clinical Radiology, Volume 78, Issue 2, 2023 |
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Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records— a retrospective modelling study
The Lancet Digital Health, Volume 6, Issue 4, e281 - e2900, April 2024 |
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Beyond regulatory compliance— evaluating radiology artificial intelligence applications in deployment
Clinical Radiology, Volume 79, Issue 5, 2024 |
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Artificial intelligence and machine learning for clinical pharmacology
British Journal of Clinical Pharmacology. 2024; 90(3) 629-639 |
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AI chatbots not yet ready for clinical use
Frontiers in Digital Health. 2023; 5:1161098 |
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Insights and trends review— artificial intelligence in hand surgery
Journal of Hand Surgery (European Volume). 2023; 48(5); 396-403 |
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A surgical perspective on large language models
Annals of Surgery. 2023; 278(2); e24-e26 |
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Artificial intelligence and machine learning capabilities in the detection of acute scaphoid fracture— a critical review
Journal of Hand Surgery (European Volume). 2025; 50(1); 23-31 |
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Guidance on auto-contouring in radiotherapy
Royal College of Radiologists November 2024 |
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Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI)— protocol for a prospective observational study
BMJ Open 2024; 14:e086061 |
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Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review
Lancet Digital Health 2024; 6- e827–47 |
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The role of procurement frameworks in responsible AI innovation in the National Health Service— a multi-stakeholder perspective
Frontiers in Health Services 2025; 5:1608087 |
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Making the most of clinical fellowships— robotics, data science and artificial intelligence
Surgery - Oxford International Edition 2025; Volume 43, Issue 3, 166 - 170 |
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A commentary on ophthalmic patients co-designing a new tool to better understand their hospital letters
Research Involvement and Engagement 2025; 11 |
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Artificial intelligence and machine learning in thoracic surgery- A scoping review
Clinical Surgical Oncology Volume 4, Issue 3, September 2025, 100086 |
Last updated: August 2025
