Public Health England

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

Viknesh Sounderajah, Hutan Ashrafian, Ravi Aggarwal et al.

2020 · 246 Zit.

The importance of transparency: Declaring the use of generative artificial intelligence (<scp>AI</scp>) in academic writing

Arthur Tang, Kin‐Kit Li, Kin On Kwok et al.

2023 · 129 Zit.

Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review

R. C. Lawrence, Emma Dodsworth, Efthalia Massou et al.

2025 · 20 Zit.

The impact of using AI-powered voice-to-text technology for clinical documentation on quality of care in primary care and outpatient settings: a systematic review

Ahmed Alboksmaty, Reham Aldakhil, Benedict Hayhoe et al.

2025 · 9 Zit.

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals

Andrew A. S. Soltan, Anshul Thakur, Jenny Yang et al.

2023 · 6 Zit.

Procurement and early deployment of artificial intelligence tools for chest diagnostics in NHS services in England: a rapid, mixed method evaluation

Angus I. G. Ramsay, Nadia Crellin, R. C. Lawrence et al.

2025 · 3 Zit.

Real-world evaluation of AI-driven COVID-19 triage for emergency admissions: External validation &amp; operational assessment of lab-free and high-throughput screening solutions

Andrew A. S. Soltan, Jenny Yang, Ravi Pattanshetty et al.

2021 · 3 Zit.

Impact of using artificial intelligence as a second reader in breast screening including arbitration

Lucy M. Warren, Jenny Venton, Kenneth C. Young et al.

2026 · 2 Zit.

Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies

Christopher Kelly, Marc Wilson, Lucy M. Warren et al.

2026 · 2 Zit.

Building The Health Chatbot Users’ Guide

Duaa O. Khair, Aditya U. Kale, Ruth Agbakoba et al.

2026 · 0 Zit.

Medical students' and faculty members' perceptions and experiences of AI integration in health care practice and in medical curricula: A meta‐ethnographic review

See Chai Carol Chan, Holly Young, Ravi Parekh

2025 · 0 Zit.