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.

The unintended consequences of artificial intelligence in paediatric radiology

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

2023 · 28 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.

Optimising trajectory planning for stereotactic brain tumour biopsy using artificial intelligence: a systematic review of the literature

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

2023 · 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.

Presentation to publication: Changes in paediatric radiology research trends 2010–2016

Riwa Meshaka, Harsimran Laidlow-Singh, Dean Langan et al.

2022 · 9 Zit.

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

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

2023 · 7 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.

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.

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 · 4 Zit.

Artificial Intelligence in Obstetrics

Eileen Deuster, Asma Khalil

2025 · 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.