24th European Congress of Physical and Rehabilitation Medicine

PREPARE: Personalized Rehabilitation via Novel AI Patient Stratification Strategies: The Case for Parkinson’s Disease (p.658) – UNIVPM PREPARE Rehab: Personalized Rehabilitation via Novel AI Patient Stratification Strategies (p.733) – ISICO https://prepare-rehab.eu/wp-content/uploads/2024/10/ESPRM_2024_proceedings.pdf
Can We Explain AI?: Explainable AI in the Health Domain as Told ThroughThree European Commission-funded Projects

https://prepare-rehab.eu/wp-content/uploads/2024/10/aihealth_2024_1_40_80018.pdf
Generating Non-English Synthetic Medical Data Sets

https://prepare-rehab.eu/wp-content/uploads/2024/10/Generating-Non-English-Synthetic-Medical-Data-Sets_JSI.pdf
How Smart Tech Makes Health Records Smarter (PREPARE Solutions for Better Healthcare)

https://prepare-rehab.eu/wp-content/uploads/2024/10/Novak.pdf
Understanding Bias and Fairness in AI Systems

In recent years, artificial intelligence (AI) has become intertwined with almost every aspect of our daily lives, from personalised recommendations to advanced medical diagnostics. Many sectors and organisations are racing to implement AI tools to streamline their workflows and boost productivity. This push is also evident in healthcare, where AI promises to revolutionise decision-making and […]
D2.2 Pilot cases planning, Definition of Scenarios, Validation Plan

https://prepare-rehab.eu/wp-content/uploads/2024/10/PREPARE-Deliverable-D2.2_v13Bis.pdf
D2.1 User Requirements and Gap Analysis – Technological Requirements

https://prepare-rehab.eu/wp-content/uploads/2024/10/PREPARE_D2.1.pdf
Advancing care through innovative data-driven tools

This recently published report from the European project PREPARE represents a significant advancement in personalised rehabilitation care. D2.2 Pilot cases planning, Definition of Scenarios, Validation Plan, is a comprehensive document outlining the methodology used to develop prediction and stratification (classification) tools, aimed at tailoring treatments to individual patients. To provide the best care, rehabilitation must […]
Bridging the Gaps in Personalised Rehabilitation Care: Insights from the PREPARE Project

The landscape of personalised rehabilitation care is evolving, but not without significant challenges. Through the user requirements and gap analysis conducted by the PREPARE project, valuable insights were gained that highlight the technological and practical hurdles facing healthcare professionals today. These challenges underscore the urgent need for more sophisticated, user-friendly tools to improve patient outcomes […]
PREPARE: Revolutionising Temporomandibular Joint Disorder Research with OMOP Common Data Model

In the field of healthcare, data-driven approaches have become instrumental in advancing our understanding of various medical conditions. One such groundbreaking initiative is the patient-centred research to enable health through Personalised REhabilitation via Novel AI Patient Stratification Strategies (PREPARE) project, which exploits the power of the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) […]