Overview
Research Associate – Artificial Intelligence in Cardiac MRI – Strand, London, WC2R 2LS
About Us
Cardiac Magnetic Resonance (CMR) is increasingly central to the diagnosis and management of a wide range of cardiovascular conditions. However, the clinical impact of CMR is currently limited by time-consuming reporting workflows and the scarcity of specialist expertise required to interpret studies. Advances in artificial intelligence (AI) and large language models (LLMs) offer new opportunities to streamline, standardise and enhance CMR reporting, but robust integration of these technologies into real clinical environments remains a major challenge.
The role will be based at King’s College London, working closely with clinical teams at Guy’s & St Thomas’ NHS Foundation Trust, and embedded within the multidisciplinary ecosystem of the London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare. The project includes collaboration with NHS partners and industry stakeholders to ensure that the reporting interface is technically robust, clinically usable and ready for translation into routine practice.
About the Faculty
About the Department of Biomedical Engineering
About The London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare
About the Role
This post will support the development and early implementation of an NHS-ready, AI-assisted CMR reporting interface (edgeCMR). The role is intended to establish the technical and clinical foundations required for subsequent externally funded research programmes, while delivering immediate benefits for clinical service delivery, including improved reporting efficiency, standardisation, and risk reduction within routine CMR workflows, integrating locally deployed AI models, LLM-driven clinical text generation, and interoperability with hospital systems through HL7/FHIR-based communication. The overall aim is to replace existing third-party reporting software with a clinician-centred, flexible and fully customisable workflow tailored to the requirements of modern CMR practice.
A particular focus of this position will be the development of the reporting interface and its underlying data pathways, including:
- building structured and interactive reporting tools that incorporate LLM-assisted drafting and real-time clinician editing;
- integrating local AI outputs (e.g., quantitative measurements and image-derived biomarkers) into structured templates;
- ensuring reliable communication with electronic patient record systems (e.g., EPIC) through HL7/FHIR mechanisms;
- supporting user-centred evaluation and iterative refinement of the reporting environment.
This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31st March 2027.
Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.
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