Frimley Health NHS Foundation Trust

A Delphi consensus statement for digital surgery

Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.

2022 · 77 Zit.

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

Riaan van de Venter, Emily Skelton, Jacqueline Matthew et al.

2023 · 45 Zit.

Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK

Nikolaos Stogiannos, Rizwan Malik, Amrita Kumar et al.

2023 · 44 Zit.

Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe

G. Walsh, Nikolaos Stogiannos, Riaan van de Venter et al.

2023 · 39 Zit.

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders

Nikolaos Stogiannos, Caitlin Gillan, Helle Precht et al.

2024 · 24 Zit.

Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK

Nikolaos Stogiannos, Lia Litosseliti, Tracy O’Regan et al.

2024 · 23 Zit.

AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers

Nikolaos Stogiannos, Tracy O’Regan, Erica Scurr et al.

2024 · 23 Zit.

Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying pneumothoraces on plain chest X-ray: a multi-case multi-reader study

Alex Novak, Sarim Ather, Avneet Gill et al.

2024 · 21 Zit.

Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK

Nikolaos Stogiannos, Tracy O’Regan, Erica Scurr et al.

2024 · 11 Zit.

Artificial intelligence in the urology multidisciplinary team meeting: can ChatGPT suggest European Association of Urology guideline‐recommended prostate cancer treatments?

Joseph Gabriel, Abraham Gabriel, Lidia Shafik et al.

2023 · 11 Zit.

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

Alex Novak, Max Hollowday, Abdalá Trinidad Espinosa Morgado et al.

2024 · 10 Zit.

ChatGPT<i>versus</i>Bing: a clinician assessment of the accuracy of AI platforms when responding to COPD questions

Arouba Imtiaz, Joanne King, Steve Holmes et al.

2024 · 7 Zit.

From data to precision: The transformative role of AI and machine learning in modern orthopaedic practice

Amit Kumar Yadav, Prateek Joshi, Anjali Tiwari et al.

2025 · 3 Zit.

Artificial Intelligence in Anaesthesiology: Current Applications, Challenges, and Future Directions

Burhan Dost, Engin İhsan Turan, Muhammed Enes Aydın et al.

2025 · 3 Zit.

Adoption, orchestration, and deployment of artificial intelligence within the National Health Service—facilitators and barriers: an expert roundtable discussion

Gerald Lip, Alex Novak, Mathias Goyen et al.

2024 · 3 Zit.