Royal London Hospital

Cardiovascular care with digital twin technology in the era of generative artificial intelligence

Phyllis Thangaraj, S. Benson, Evangelos K. Oikonomou et al.

2024 · 84 Zit.

Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers

Clare Rainey, Tracy O’Regan, Jacqueline Matthew et al.

2021 · 76 Zit.

Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group

Christina Malamateniou, Sonyia McFadden, Yasmin McQuinlan et al.

2021 · 65 Zit.

Big data, machine learning and artificial intelligence: a neurologist’s guide

Stephen D. Auger, Benjamin M. Jacobs, Ruth Dobson et al.

2020 · 55 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.

Aprotinin reduces blood loss and the need for transfusionin orthognathic surgery

A. Stewart, L. Newman, Katherine Sneddon et al.

2001 · 45 Zit.

UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments

Clare Rainey, Tracy O’Regan, Jacqueline Matthew et al.

2022 · 40 Zit.

The Global Use of Artificial Intelligence in the Undergraduate Medical Curriculum: A Systematic Review

J Varma, Sherwin Fernando, Brian Y Ting et al.

2023 · 31 Zit.

Artificial intelligence for dementia prevention

Danielle Newby, Vasiliki Orgeta, Charles R. Marshall et al.

2023 · 27 Zit.

Advancements in Pancreatic Cancer Detection: Integrating Biomarkers, Imaging Technologies, and Machine Learning for Early Diagnosis

Hisham Daher, Sneha A Punchayil, Amro Ahmed Elbeltagi Ismail et al.

2024 · 27 Zit.

An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey

Clare Rainey, Tracy O’Regan, Jacqueline Matthew et al.

2022 · 26 Zit.

Overview of trials on artificial intelligence algorithms in breast cancer screening – A roadmap for international evaluation and implementation

Thiemo J. A. van Nijnatten, Nicholas Roy Payne, Sarah Hickman et al.

2023 · 26 Zit.

Artificial intelligence in radiology: trainees want more

O.-U. Hashmi, Nathan Chan, Clarisse F. de Vries et al.

2023 · 23 Zit.

Bariatric Evaluation Through AI: a Survey of Expert Opinions Versus ChatGPT-4 (BETA-SEOV)

Amir Hossein Davarpanah Jazi, Mohammad Mahjoubi, Shahab Shahabi Shahmiri et al.

2023 · 23 Zit.

Artificial intelligence in cardiology: the debate continues

Folkert W. Asselbergs, Alan G. Fraser

2021 · 22 Zit.