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Deep-Learning and HPC to Boost Biomedical Applications for Health (DeepHealth)

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jun 2019Publisher:IEEEJournal:2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)Funded by:EC | DeepHealth

Authors: Monica Caballero; Jon Ander Gómez; Aimilia Bantouna;

doi: 10.1109/cbms.2019.00040

Deep-Learning and HPC to Boost Biomedical Applications for Health (DeepHealth)

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Abstract

This document introduces the DeepHealth project: "Deep-Learning and HPC to Boost Biomedical Applications for Health". This project is funded by the European Commission under the H2020 framework program and aims to reduce the gap between the availability of mature enough AI-solutions and their deployment in real scenarios. Several existing software platforms provided by industrial partners will integrate state-of-the-art machine-learning algorithms and will be used for giving support to doctors in diagnosis, increasing their capabilities and efficiency. The DeepHealth consortium is composed by 21 partners from 9 European countries including hospitals, universities, large industry and SMEs.

Related Organizations

Universitat Politècnica de València
Spain

Keywords

libraries;europe;medical services;predictive models;medical diagnostic imaging;software

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