Applications are invited for a fully funded PhD studentship at University College London (UCL) to develop next-generation artificial intelligence tools for perioperative risk prediction and shared decision-making. This interdisciplinary PhD sits at the interface of clinical medicine, machine learning, medical imaging, and large language models (LLMs), and will be jointly supervised by:
The student will be embedded within the UCL Hawkes Institute and the UCL Centre for Perioperative Medicine, working in close collaboration with University College London Hospitals.
Project Overview Major surgery carries substantial risk. Current preoperative assessment tools are often static, resource-intensive, and variably accessible. This PhD will develop and validate a multimodal AI framework that integrates:
The goal is to build a multimodal predictive pipelines based on letese generation deep learning methodologies, capable of dynamic perioperative risk stratification.
A central innovation is the integration of Large Language Models to translate complex model outputs into:
The resulting tool will form the foundation for future prospective NHS implementation studies.
Equality, Diversity and Inclusion
We particularly welcome applications from candidates from underrepresented backgrounds in AI and biomedical engineering. Flexible working patterns can be discussed.
How to Apply Applicants should submit:
Informal enquiries are encouraged and may be directed to: Dr John Whittle – j.whittle@ucl.ac.uk
Tagged as: Life Sciences
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ApplyPlease visit www.ucl.ac.uk.
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