Jacqueline Matthew

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 · 45 Zit. · Insights into Imaging

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network

2018 · 42 Zit. · Lecture notes in computer science

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

Interaction between clinicians and artificial intelligence to detect fetal atrioventricular septal defects on ultrasound: how can we optimize collaborative performance?

2024 · 13 Zit. · Ultrasound in Obstetrics and Gynecology

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

2018 · 9 Zit.

Sonographer interaction with artificial intelligence: collaboration or conflict?

2023 · 6 Zit. · Ultrasound in Obstetrics and Gynecology

Video Clip Extraction From Fetal Ultrasound Scans Using Artificial Intelligence to Allow Remote Second Expert Review for Congenital Heart Disease

2025 · 3 Zit. · Prenatal Diagnosis

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

2021 · 3 Zit. · SSRN Electronic Journal

AI to Assist in the Fetal Anomaly Ultrasound Scan: A Randomized Controlled Trial

2025 · 2 Zit. · NEJM AI

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