Artificial Intelligence to boost hospital care to the future

Healthcare systems lack flexible AI solutions that allow hospitals to improve efficiency and the quality of patient care. Current solutions provide limited scalability and are confined to isolated applications. Scalable models that address data sharing, integration, privacy, and ethics are needed to ensure better adoption of AI in healthcare.

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AICCELERATE will develop partners’ existing digital solutions further working mainly in three concrete pilots that will be carried out in 5 hospitals

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Patient flow
management for
surgical units

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Digital care pathway
for Parkinson’s
disease

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Pediatric
service
delivery

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The hospitals

Five European hospitals will test these pilots with their users to prove the scalability of the SHCP Engine

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    Helsinki University Hospital (Finland)

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    SJD Barcelona Children's Hospital (Spain)

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    Bambino Gesù Pediatric Hospital (Italy)

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    Oulu University Hospital (Finland)

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    Padua University Hospital (Italy)

Latest News

Significant EU funding for proposing a scalable AI tool for smart hospital

Helsinki University Hospital (HUS) is leading an EU project that aims to develop an adaptable AI-based toolset for a variety of clinical use cases. The project will start in early 2021 and its pilot cases will focus on patient-centric digital care pathways and on optimizing patient flow management. The AICCELERATE consortium consists of specialists in the fields of IT, machine learning, robotics, neurology, paediatrics and surgery from Finland, Italy, Spain, Turkey, Netherlands, Germany and Belgium. Healthcare systems lack flexible AI...

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15 / December / 2020
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