Research | AI Centre for Value Based healthcare

AI Centre for Value Based Healthcare

Topic: Research / Showing 7 of 7 results

AI Centre presents LLMs powered NLP tools
We are excited to share our work in this Webinar, as part of Clinical AI Special Interest Group – set up by The Alan Turing Institute and the Genomic AI Network. Dr Joe Zhang and Sophie Ratkai present their work with Large Language Models (LLMs) OncoLlama and GenoLlama, used for cancer…
Event, Platforms, AI Applications, Research
AI-powered 3D anatomical models help surgeons tackle the post-lockdown backlog
Innersight Labs, an industry partner of the London Medical Imaging & Artificial Intelligence Centre for Value Based Healthcare, is sharing its AI powered modelling technology, Innersight3D, to help guide surgeons through complex operations and deal with the backlog of cases delayed due to…
Research
Using AI and electronic health records to determine the impact of blood pressure medication on COVID-19 severity
Researchers from King’s College London, the London Medical Imaging and Artificial Intelligence Centre for Value Based Healthcare, King’s College Hospital and NIHR Maudsley Biomedical Research Centre are using de-identified data from CogStack, an information retrieval and extraction…
Research
Researchers accelerate synthetic brain 3D image creation using AI models powered by Cambridge-1 supercomputer
AI Centre Consortium members including King’s College London, along with partner hospitals and university collaborators, unveiled new details about one of the first projects on Cambridge-1, the United Kingdom’s most powerful supercomputer. The Synthetic Brain Project is focused on building deep…
Research
New MONAI tool eases the development of AI-assisted annotation models
The Medical Open Network for AI   (MONAI) has released MONAI Label v0. 1, an intelligent image labelling tool that speeds up the creation of annotated datasets, and enables researchers to build AI annotation models easily and quickly. MONAI Label is an open-source system that enables…
Platforms, Research
Cardiac risk factors could be better detected earlier by radiomic analysis using machine learning, say researchers
A new position paper supported by the London Medical Imaging & AI Centre for Value Based Healthcare proposes the use of machine learning-enabled cardiovascular magnetic resonance (CMR) radiomics analysis. CMR radiomics is an emerging technique that extracts features from radiographic medical…
Research
New AI diagnostic can predict COVID-19 without testing, loss of taste and smell strong predictor of infection
A joint effort between researchers at Massachusetts General Hospital, health science company ZOE, King’s School of Biomedical Engineering & Imaging Sciences, Department of Twin Research & Genetic Epidemiology, and London Medical Imaging and AI Centre for Value Based Healthcare has seen the…
Research