Emily Skelton

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

2021 · 76 Zit. · Frontiers in Digital Health

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

2021 · 65 Zit. · Radiography

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

2023 · 44 Zit. · Insights into Imaging

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

2022 · 40 Zit. · Radiography

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

2021 · 37 Zit. · Prenatal Diagnosis

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

2022 · 26 Zit. · Journal of medical imaging and radiation sciences

Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

2023 · 20 Zit. · Prenatal Diagnosis

Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound

2018 · 9 Zit.

Evaluation of a customised, AI-focused educational seminar delivered to final year undergraduate radiography students in the UK: A cross-sectional study

2025 · 5 Zit. · Radiography

Exploring a New Paradigm for the Fetal Anomaly Ultrasound Scan: Artificial Intelligence in Real Time

2021 · 3 Zit. · SSRN Electronic Journal

Vendors’ perspectives on AI implementation in medical imaging and oncology: a cross-sectional survey

2025 · 2 Zit. · European Radiology

VP17.01: Exploring a new paradigm for the fetal anomaly ultrasound scan: artificial intelligence in real‐time

2021 · 1 Zit. · Ultrasound in Obstetrics and Gynecology

Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?

2021 · 1 Zit. · Lecture notes in computer science

Can non-specialists provide high quality gold standard labels in\n challenging modalities?

2021 · 0 Zit. · arXiv (Cornell University)

Artificial intelligence: Guidance for clinical imaging and therapeutic radiography workforce professionals.

2021 · 0 Zit. · Ulster University Research Portal (Ulster University)