Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study.
Maria Chiara MalagutiLorenzo GiosBruno GiomettoChiara LongoMarianna RielloDonatella OttavianiMaria PellegriniRaffaella Di GiacopoDavide DonnerUmberto Maria RozzanigoMarco ChiericiMonica MoroniGiuseppe JurmanGiorgia BincolettoMatteo PardiniRuggero BacchinFlavio NobiliFrancesca Di BiasioLaura AvanzinoRoberta MarchesePaola MandichSara GarbarinoMattia PaganoCristina CampiMichele PianaManuela MarencoAntonio UccelliVenet OsmaniPublished in: PloS one (2024)
The work behind this observational study protocol shows how it is possible and viable to systematize data collection procedures in order to feed research and to advance the implementation of a P3 approach into the clinical practice through the use of AI models.
Keyphrases
- artificial intelligence
- big data
- parkinson disease
- machine learning
- randomized controlled trial
- clinical practice
- deep learning
- study protocol
- deep brain stimulation
- electronic health record
- primary care
- high resolution
- healthcare
- clinical trial
- open label
- blood brain barrier
- data analysis
- brain injury
- subarachnoid hemorrhage