BACKGROUND
Echoliv a été fondée par : Jules Bayet, ingénieur en machine learning, diplômé de l’École Polytechnique ; Victor Neuillet, serial entrepreneur, diplômé de l’ESCP Business School ; Elsa Angelini, experte en machine learning appliquée à l’imagerie médicale avec un doctorat en imagerie biomédicale, professeure-associée à Télécom Paris, Imperial College London et Columbia.
DESCRIPTION OF PRODUCTS / SERVICES / TECHNOLOGY
Echoliv is involved in the diagnosis of early stage HCC. The objective is to concretely bring a gain in specificity and sensitivity in order to increase the number of diagnoses of sick patients and also to reduce positive tests on non-sick patients.
The Echoliv solution is an artificial intelligence-based medical technology for ultrasound. The algorithms analyse and process the images, and detect traces of HCC if present. Radiologists and X-ray manipulators acquire ultrasound videos as in standard practice and thus receive valuable decision support: the algorithm will provide multi-signal identification.
COLLABORATIONS / HIGHLIGHTS
The Echoliv solution will be based on an architecture and know-how developed and tested during academic research on the classification of liver pathology (and particularly HCC).
COLLABORATIONS SOUGHT
Echoliv is looking for hospital partners in order to acquire more data and test the solution directly in the hands of radiologists and hepatologists.
