5 papers
A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
William Poulett, Alice Waterhouse, Ben Wallace +4
Synthetic data is increasingly used to enable the development and evaluation of AI systems in domains where access to real-world data is restricted. In healthcare, clinical documen…
PathWISE: Multi-Agent Cancer Pathway Triaging Ontology Learning from Clinical Flowcharts
Sofiat Abioye, Ufaq Khan, Shazad Ashraf +6
Clinical pathways are disseminated as visual flowcharts where spatial topology, arrow direction, colour coding, and font weight encode critical triage logic that remains inaccessib…
RAPTOR+: A Visually Grounded Vision-Language Framework to Improve Clinical Trust and Auditability in Automated Cancer Referral Processing
Sofiat Abioye, Ufaq Khan, Shazad Ashraf +4
Urgent suspected colorectal cancer (CRC) referrals create operational bottlenecks because semi-structured clinical documents often require manual review and transcription. The orig…
A Semi-Automated Annotation Workflow for Paediatric Histopathology Reports Using Small Language Models
Avish Vijayaraghavan, Jaskaran Singh Kawatra, Sebin Sabu +11
Electronic Patient Record (EPR) systems contain valuable clinical information, but much of it is trapped in unstructured text, limiting its use for research and decision-making. La…
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis
Adam Byfield, William Poulett, Ben Wallace +6
Machine learning (ML) models are becoming integral in healthcare technologies, presenting a critical need for formal assurance to validate their safety, fairness, robustness, and t…