St George's Hospital

Artificial intelligence for radiological paediatric fracture assessment: a systematic review

Susan C. Shelmerdine, Richard White, Hantao Liu et al.

2022 · 54 Zit.

Can artificial intelligence pass the Fellowship of the Royal College of Radiologists examination? Multi-reader diagnostic accuracy study

Susan C. Shelmerdine, H Martı́n, Kapil Shirodkar et al.

2022 · 46 Zit.

Artificial intelligence in paediatric radiology: international survey of health care professionals’ opinions

Susan C. Shelmerdine, Karen Rosendahl, Owen J. Arthurs

2021 · 38 Zit.

The unintended consequences of artificial intelligence in paediatric radiology

Pierluigi Ciet, Christine Eade, Mai‐Lan Ho et al.

2023 · 29 Zit.

Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know

Riwa Meshaka, Daniel Pinto dos Santos, Owen J. Arthurs et al.

2021 · 14 Zit.

Can ChatGPT outperform a neurosurgical trainee? A prospective comparative study

Simon C. Williams, Joachim Starup‐Hansen, Jonathan P. Funnell et al.

2024 · 11 Zit.

Use of 3D Printing Technology in Fracture Management: A Review and Case Series

Raveesh D. Richard, Austin Heare, Cyril Mauffrey et al.

2023 · 8 Zit.

Evolution of radiology staff perspectives during artificial intelligence (AI) implementation for expedited lung cancer triage

Daniel Togher, G Dean, James Moon et al.

2024 · 6 Zit.

European Society of Paediatric Radiology Artificial Intelligence taskforce: a new taskforce for the digital age

Lene Bjerke Laborie, Jaishree Naidoo, Erika Pace et al.

2022 · 6 Zit.

Early Budget Impact Analysis of Artificial Intelligence to Support the Review of Radiographic Examinations for Suspected Fractures in National Health Service Emergency Departments

Lucy Gregory, Trishal Boodhna, Mathew Storey et al.

2025 · 5 Zit.

Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset

Shiva Parsarad, Narges Saeedizadeh, Ghazaleh Jamalipour Soufi et al.

2023 · 4 Zit.

OP01.10: Auditing the quality of ultrasound images using an AI solution: ScanNav® for fetal second trimester ultrasound scans

Mohammad Yaqub, K. Cook, Kim Cocks et al.

2019 · 4 Zit.

Artificial Intelligence in Obstetrics

Eileen Deuster, Asma Khalil

2025 · 3 Zit.

Revolutionising paediatric radiology: the future impact of artificial intelligence

Susan C. Shelmerdine

2023 · 3 Zit.

Parental and carer views on the use of AI in imaging for children: a national survey

Girija Agarwal, Raimat Korede Salami, Lauren Lee et al.

2025 · 2 Zit.