Hillingdon Hospitals NHS Foundation Trust

Use of digital technology to give and receive feedback in clinical training: a scoping review protocol

Veena S. Singaram, Chauntelle Bagwandeen, Reina Abraham et al.

2022 · 6 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.

The impact of digitisation of a virtual fracture clinic on referral quality, outcomes and assessment times

B.M. Sephton, Hannah Morley, Piyush Mahapatra et al.

2021 · 3 Zit.

"Help Humans Make the Right Decisions.” Patient Perspectives on Artificial Intelligence (AI) Supporting Clinicians in the Interpretation of Spirometry: A Qualitative Study

Gillian Doe, Stephanie Taylor, Graeme Edwards et al.

2025 · 0 Zit.

Response: To the Comment on AI-Assisted Spirometry Interpretation in Primary Care: A Randomized Controlled Trial

Gillian Doe, Winston Banya, George Edwards et al.

2025 · 0 Zit.

Radiology staff perspectives on the use of artificial intelligence in medical imaging

Girija Agarwal, Sharon Vit, Tina Stoycheva et al.

2025 · 0 Zit.

Inclusive by design: Why we must rethink generative <scp>AI</scp> in dermatology

O.E. Dadzie, Richard A. Sturm

2025 · 0 Zit.

Late Breaking Abstract - SPIROmetry interpretation in primary care with or without Artificial Intelligence Decision support software (SPIRO-AID)

Gillian Doe, Ethaar El-Emir, George Edwards et al.

2024 · 0 Zit.

S11 SPIRO-AID: a randomized controlled trial of AI-assisted spirometry interpretation in primary care

G Doe, Winston Banya, George Edwards et al.

2025 · 0 Zit.

S155 Potential of AI to detect ILD in primary care settings: a real-world evaluation

C Vairelles, Marianne Rakic, Erik Smets et al.

2025 · 0 Zit.