Building AI tools for Parkinson's disease (PD) screening and prognosis requires in-depth scientific insights and data. To this end, in the early days of the AI-PROGNOSIS project, we performed an extensive review of the current landscape of relevant research, databases, and technologies. The report is now publicly available and includes:

• A literature review (2013-2023) covering determinants and predictive modelling approaches of PD risk, progression and response to medication, as well as digital assessments of PD key symptoms

• A list of relevant datasets and biobanks

• A list of available, certified technologies for PD, with a focus on remote management and monitoring

• The project's strategy for data harmonisation based on the OMOP common data model

Read the full document on Zenodo: https://zenodo.org/records/15535344