Dr Jacqueline Matthew January Seminar Series
December 17, 2025
We were pleased to welcome Dr Jacqueline Matthew - Clinical Research Fellow/Sonographer at King's College London - who delivered her talk “From Noise to Signal: A Clinical Researcher's Perspective on Translating Advances in Prenatal imaging into Practice"
as part of our Seminar Series.
Abstract: Over the past decade, machine learning approaches in prenatal imaging has advanced from exploratory academic prototypes to clinically usable, real-time tools, but the path between those two endpoints is rarely straightforward. In this talk, Jacqueline offered a clinical researcher’s perspective on translating biomedical engineering innovations into real-world impact, tracing the journey from the iFIND project’s early breakthroughs in automated fetal imaging to the creation of Fraiya, an AI-driven ultrasound platform now entering clinical deployment. She unpacked the technical, clinical, and regulatory hurdles that shape this trajectory: data acquisition at scale, annotation complexity, model robustness, pipeline optimisation for real-time use, clinical safety engineering, regulatory strategy, and integration with NHS digital ecosystems. Beyond the technical achievements, the session reflected honestly on the innovation “gaps” that researchers and engineers encounter when stepping into entrepreneurship. From productising research outputs, building 'with' clinicians and service users not just 'for' them, securing buy-in, navigating procurement, and proving value in operationally stretched healthcare services. The aim was to provide a pragmatic and motivating roadmap for researchers and innovators seeking to turn biomedical AI research into deployable, sustainable solutions in healthcare.
Seminar Series Event: “From Noise to Signal: A Clinical Researcher's Perspective on Translating Advances in Prenatal imaging into Practice.
Date and Time:
Thursday 22 January 2026, 15:00 – 16.00 hrs (GMT)
Location:
K39, King's Building, Strand Campus
Attendance: Mandatory for all DRIVE-Health students, therefore please accept the calendar invitation.
Registration:
Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk to let us know if you would like to attend.
Biography
Jacqueline is a clinical academic, sonographer, and MedTech entrepreneur with over 20 years of experience in advancing pregnancy care through compassionate, technology-driven solutions. Specialising in ultrasound and fetal MRI, Jacqueline’s work focuses on leveraging cutting-edge imaging technologies to improve screening, diagnosis, and care for pregnant women.
With a PhD in advanced 3D ultrasound and fetal MRI, Jacqueline uses machine learning to refine diagnostic pathways, pushing the boundaries of what’s possible in prenatal care. As Clinical Lead and Chief Medical Officer at an early-stage health tech startup, she has been at the forefront of developing a real-time AI-powered pregnancy ultrasound platform, with ambitions to transform how scans are performed, enhancing diagnostic accuracy, and empowering healthcare professionals to deliver more informed and compassionate care.
Jacqueline’s work has earned her widespread recognition, including being named one of the inaugural winners of the NHS England CAHPO Gold Award for Excellence, which celebrates health professionals who exemplify exceptional contributions to healthcare and the NHS values.
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