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Screening for Alzheimer’s disease in primary care using an AI driven screening platform: design of the PREDICTOM study

Beteiligte Autor*innen der JOANNEUM RESEARCH:
Autor*innen:
Brem, Anna‐Katharine and Khan, Zunera and Ashworth, Mark and Ashton, Nicholas J. and Brandt, Sigurd and Corbett, Anne and Diaz, Ana and Froehlich, Holger and Gjestsen, Martha Therese and Gove, Dianne and Kaushik, Sandeep and Marquardt, Gaby and Muellenborn, Matthias and Nikolopoulos, Spiros and Paletta, Lucas and Vik‐Mo, Audun Osland and Perneczky, Robert and Russegger, Silvia and Schirmer, Timo and Shadmaan, Amied and Sanchez, Ana Bea Solana and Aarsland, Dag
Abstract:
Recent developments in physiological and digital biomarkers provide an opportunity to shift the first diagnostic steps to the homesetting, thus allowing earlier detection and treatment of Alzheimer’s disease (AD). Bloodbased, magnetic resonance imaging, electrophysiological, digital and microbiome biomarkers have shown great promise and call for an evaluation of their accuracy, feasibility and safety in primary care and the community. The aim of PREDICTOM is to develop and test the accuracy of an artificial intelligence (AI) driven screening platform for the prediction and early detection of AD and to extend the clinical pathway to homebased screening using established and novel biomarkers.
Titel:
Screening for Alzheimer’s disease in primary care using an AI driven screening platform: design of the PREDICTOM study
Herausgeber (Verlag):
Wiley

Publikationsreihe

Name
Alzheimer’s ; Dementia
Herausgeber(Verlag)
Wiley
Nummer
20
ISSN
15525279
Weitere Dateien und links
Jahr/Monat:
2024
/ December

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