St Thomas' Hospital

Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study

Khaled M. Musallam, Hani Tamim, Toby Richards et al.

2011 · 1.228 Zit.

Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines

Lawrence T. Goodnough, Alice Maniatis, Peter Earnshaw et al.

2010 · 536 Zit.

Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study

Israel Valverde, Gorka Gómez, Tarique Hussain et al.

2017 · 270 Zit.

AI chatbots not yet ready for clinical use

Joshua Au Yeung, Željko Kraljević, Akish Luintel et al.

2023 · 149 Zit.

A framework for advancing sustainable magnetic resonance imaging access in Africa

Udunna Anazodo, Jinggang J. Ng, Boaz Ehiogu et al.

2022 · 91 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.

Artificial intelligence in orthopaedics: can Chat Generative Pre-trained Transformer (ChatGPT) pass Section 1 of the Fellowship of the Royal College of Surgeons (Trauma & Orthopaedics) examination?

Rory Cuthbert, Ashley I. Simpson

2023 · 60 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.

Moving towards vertically integrated artificial intelligence development

Joe Zhang, Sanjay Budhdeo, William Wasswa et al.

2022 · 38 Zit.

Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection

Siddharth Agarwal, David Wood, Mariusz Grzeda et al.

2023 · 36 Zit.

Predicting intra‐operative and postoperative consequential events using machine‐learning techniques in patients undergoing robot‐assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study

Mahendra Bhandari, Anubhav Reddy Nallabasannagari, Madhu Reddiboina et al.

2020 · 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.

Application of generative language models to orthopaedic practice

Jessica Caterson, Olivia Ambler, Nicholas Cereceda‐Monteoliva et al.

2024 · 24 Zit.

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

Esther Puyol‐Antón, Bram Ruijsink, Stefan K. Piechnik et al.

2021 · 24 Zit.