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Artificial intelligence-based Parkinson’s disease risk assessment and prognosis

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Study initiation package (dBM-DEV study) (öffnet in neuem Fenster)

Package including the clinical study registration number in a registry meeting WHO criteria, final version of the approved study protocol, and regulatory/ethics approvals required for the enrolment of the first study participant.

Dissemination, communication and exploitation plan (öffnet in neuem Fenster)

The dissemination, communication and exploitation strategy (including stakeholders’ analysis), plans, language, and impact evaluation.

Initial report on domain review and datasets (öffnet in neuem Fenster)

Initial (early R&D) report on domain review and existing, relevant health databases/sets and biobanks.

First report on predictive modelling for PD (öffnet in neuem Fenster)

Report on early genetic profiling and early versions of predictive models for PD risk, progression, and medication response prediction, including, i.a., datasets used, methods, benchmarking, and internal validation evidence.

First report on digital biomarkers for PD (öffnet in neuem Fenster)

Report on the early versions of dBMs for tracking key PD risk and progression markers, the associated technology, development/ implementation process, and validation or verification evidence.

Trustworthy AI development and evaluation framework (fundamental version) (öffnet in neuem Fenster)

Fundamental compilation of guidelines for building trustworthy AI and report on relevant procedures, tools and developed metrics to be adopted for developing the AI-driven components and evaluating their performance (with emphasis on accuracy, reliability, reproducibility and generalisability).

Midterm recruitment report (dBM-DEV study) (öffnet in neuem Fenster)

Report including an overview of the number of participants recruited by clinical sites, any recruitment problems, and a detailed description of implemented and planned measures to compensate for any incurred delays.

Initial report on user research and co-creation (öffnet in neuem Fenster)

Initial (before R&D initiation) report on the methods, implementation and outputs of user research and co-creation processes, including empathy/journey maps and user stories/requirements.

First report on project visibility and educational material (öffnet in neuem Fenster)

Periodic report on project visibility (dissemination, communication, and networking activities), including impact indicators, and the educational content developed.

The AI-PROGNOSIS digital health ecosystem (Alpha version) (öffnet in neuem Fenster)

Alpha version (individual components) of the mAI-[Health, Care, Insights] apps, and companion report on features, deployment (including AI) and performance.

Project branding and communication channels (öffnet in neuem Fenster)

Presentation of the project’s visual identity, website, social media channels and communication kit.

Veröffentlichungen

Assessing motor skills in Parkinson's Disease using smartphone-based video analysis and machine learning (öffnet in neuem Fenster)

Autoren: Andreas Stergioulas, Sofia Dias, Beatriz Alves, Ghada Al Hussein, Sevasti Bostantjopoulou, Zoe Katsarou, Ioannis Dagklis, Nikos Grammalidis, Kosmas Dimitropoulos
Veröffentlicht in: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024
Herausgeber: ACM
DOI: 10.1145/3652037.3663945

MoveONParkinson: developing a personalized motivational solution for Parkinson’s disease management (öffnet in neuem Fenster)

Autoren: Beatriz Alves, Pedro R. Mota, Daniela Sineiro, Ricardo Carmo, Pedro Santos, Patrícia Macedo, João Casaca Carreira, Rui Neves Madeira, Sofia Balula Dias, Carla Mendes Pereira
Veröffentlicht in: Frontiers in Public Health, Ausgabe 12, 2024, ISSN 2296-2565
Herausgeber: Frontiers Media SA
DOI: 10.3389/fpubh.2024.1420171

Bispectral Analysis of Parkinsonian Rest Tremor: New Characterization and Classification Insights Pre-/Post-DBS and Medication Treatment (öffnet in neuem Fenster)

Autoren: Ioannis Ziogas, Charalampos Lamprou, Leontios J. Hadjileontiadis
Veröffentlicht in: IEEE Access, Ausgabe 11, 2023, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2023.3324987

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