South Tyneside and Sunderland NHS Foundation Trust

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

Elinor Laws, Joanne Palmer, Joseph Alderman et al.

2024 · 11 Zit.

International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery

Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri et al.

2025 · 7 Zit.

Building lean improvement skills at scale: an evaluation of a massive open online course in the English NHS

Iain M Smith

2023 · 3 Zit.

Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists’ ultrasound scanning for regional anesthesia

Chao-Ying Kowa, Megan Morecroft, Alan Macfarlane et al.

2024 · 2 Zit.

What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of <scp>AI</scp> ‐assisted screening for diabetic eye disease?

Kathryn Willis, Royce Shakespeare, Lakshmi Chandrasekaran et al.

2025 · 1 Zit.

Further abstract presented at the Winter Meeting of the British Association of Clinical Anatomists on 17th December 2019 at the Medical School, Framlington Place, Newcastle University, Newcastle upon Tyne, <scp>UK</scp>

B Jarman, Jonathan Womack, Kiran K. Koneti et al.

2021 · 0 Zit.

Corrigendum to “Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review” [Clin Imaging 118 (2025) 110369]

Elinor Laws, Joanne Palmer, Joseph Alderman et al.

2025 · 0 Zit.