We are an academic research group focusing on Contextual Artificial Intelligence for Computer Assisted Interventions.
CAI4CAI is embedded in the School of Biomedical Engineering & Imaging Sciences at King’s College London, UK
Our engineering research aims at improving surgical & interventional sciences
We take a multidisciplinary, collaborative approach to solve clinical challenges (📖)
Our labs are located in St Thomas' hospital, a prominent London landmark
We design learning-based approaches for multi-modal reasonning
Medical imaging is a core source of information in our research
We design intelligent systems exploiting information captured by safe light
We thrive at providing the right information at the right time to the surgical team and embrace human/AI interactions (📖)
Strong industrial links are key to accelerate translation of cutting-edge research into clinical impact
We support open source, open access and involve patients in our research
Yijing will develop a 3D functional optical imaging system for guiding brain tumour resection. Yijing presenting her work at New Scientist Live. She will engineer two emerging modalities, light field and multispectral imaging into a compact device, and develop novel image reconstruction algorithm to produce and display high-dimensional images.
Miguel will collaborate with Fang-Yu Lin and Shu Wang to create activities to engage school students with ultrasound-guidance intervention and fetal medicine. In the FETUS project, they will develop interactive activities with 3D-printed fetus, placenta phantoms as well as the integreation of a simulator that explain principles of needle enhancement of an ultrasound needle tracking system.
A great milestone today for Luis Garcia Peraza Herrera who passed his PhD viva with minor corrections! His thesis is entitled “Deep Learning for Real-time Image Understanding in Endoscopic Vision”.
This project will evaluate and contribute to the optimisation of a pre-CE-mark and pre-commercial HSI medical device for intraoperative surgical guidance in brain tumour surgery. First-in-patient clinical study using the hyperspectral imaging device (spine surgery).
This project seeks to advance the state of the art in AI-based surgical tool detection and tracking by designing novel semi-supervised and weakly-supervised approaches able to achieve robust and real-time performance.
Centre for Doctoral Training in Surgical & Interventional Engineering (CDT SIE) is an innovative three-and-a-half year PhD training program aiming to deliver translational research and transform patient pathways.
Through a comprehensive, integrated training programme, the
Centre for Doctoral Training in Smart Medical Imaging trains the next generation of medical imaging researchers.
Functionally Accurate RObotic Surgery (FAROS) H2020 project aims at improving functional accuracy through embedding physical intelligence in surgical robotics.
GIFT-Surg project is an international research effort developing the technology, tools and training necessary to make fetal surgery a viable possibility.
icovid project focuses on AI-based lung CT analysis providing accurate quantification of disease and prognostic information in patients with suspected COVID-19 disease.
Up to 100
King’s-China Scholarship Council PhD Scholarship programme (K-CSC) joint scholarship awards are available per year to support students from China who are seeking to start an MPhil/PhD degree at King’s College London.
The integrated and multi-disciplinary approach of the
MRC Doctoral Training Partnership in Biomedical Sciences (MRC DTP BiomedSci) to medical research offers a wealth of cutting-edge PhD training training opportunities in fundamental discovery science, translational research and experimental medicine.
Translational Brain Imaging Training Network (TRABIT) is an interdisciplinary and intersectoral joint PhD training effort of computational scientists, clinicians, and the industry in the field of neuroimaging.
Wellcome / EPSRC Centre for Medical Engineering combines fundamental research in engineering, physics, mathematics, computing, and chemistry with medicine and biomedical research.
Pathways to clinical impact
Following successful in-patient clinical studies of CAI4CAI’s translational research on computational hyperspectral imaging system for intraoperative surgical guidance,
Hypervision Surgical Ltd was founded by Michael Ebner, Tom Vercauteren, Jonathan Shapey, and Sébastien Ourselin.
In collaboration with CAI4CAI,
Hypervision Surgical’s goal is to convert the AI-powered imaging prototype system into a commercial medical device to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety.
Exemplar outputs of our research