Area of research
Pediatrics, Perinatology and Child Health · Health Informatics
Research interest
Research interests include Fetal and Pediatric Neurological Disorders, Prenatal Screening and Diagnostics, Artificial Intelligence in Healthcare and Education, and Radiology practices and education.
The influence of antenatal imaging on prenatal bonding in uncomplicated pregnancies: a mixed methods analysis
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
Factors which influence ethnic minority women’s participation in maternity research: A systematic review of quantitative and qualitative studies
Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?
UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view
An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey
The impact of antenatal imaging on parent experience and prenatal attachment: a systematic review
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
Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group
Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time
Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging
Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting
Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System