Artificial Intelligence to boost hospital care to the future
Healthcare systems lack flexible AI solutions that allow hospitals to improve efficiency and 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.
Five European hospitals will test these pilots with their users to prove the scalability of the SHCP Engine
Helsinki University
Hospital (Finland)
SJD Barcelona Children's
Hospital (Spain)
Bambino Gesù
Pediatric Hospital (Italy)
Oulu University
Hospital (Finland)
Padua University
Hospital (Italy)
Latest News
Webinar on AI-driven research projects for Hospitals. How to face them?
How tough is it to deal with all the practicalities of data sharing for AI-driven research? Navigating the landscape of data sharing in AI-driven research is similar to traversing a complex labyrinth fraught with challenges and obstacles. We are living a paradigm switch from a traditional approach to clinical and scientific research to a system that calls for interdisciplinarity from the beginning. Today’s research landscape demands collaboration from inception. Working together with ethical committees, data protection officers, and legal experts...
Will the EU Health Data Space (EHDS) finally enable health data sharing in the EU for better innovation and AI development? The EHDS represents a game-changer that may help companies get access to data that is controlled by hospitals. Currently, this is challenging and it requires complex and costly legal and technical custom work, and still, the results are characterized by uncertainty and risks to all involved stakeholders. In the webinar, we will present the challenges and results from the...
Webinar on IT. Transparency and Interoperability in AI developments in healthcare
The widespread integration of Artificial Intelligence (AI) algorithms and models into the forefront of clinical practice remains a challenging endeavour, primarily dominated by major corporations. This predicament stems from several significant hurdles, with interoperability and transparency as pivotal obstacles. Ensuring interoperability is crucial across all stages of implementing AI in healthcare. Developing accurate AI models requires extensive data, often unavailable within a single healthcare setting. Consequently, it becomes imperative to amalgamate datasets from various sources or employ federated learning approaches....
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
