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CORDIS - Risultati della ricerca dell’UE
CORDIS

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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Study initiation package (dBM-DEV study) (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Initial report on domain review and datasets (si apre in una nuova finestra)

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

First report on predictive modelling for PD (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Pubblicazioni

Assessing motor skills in Parkinson's Disease using smartphone-based video analysis and machine learning (si apre in una nuova finestra)

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

MoveONParkinson: developing a personalized motivational solution for Parkinson’s disease management (si apre in una nuova finestra)

Autori: 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
Pubblicato in: Frontiers in Public Health, Numero 12, 2024, ISSN 2296-2565
Editore: 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 (si apre in una nuova finestra)

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

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