| Literature DB >> 34608537 |
Simon B Eickhoff1,2, Bert Heinrichs3,4.
Abstract
New approaches to the use of artificial intelligence (AI) to analyze data from neuroimaging but also passively collected data from so-called wearables, such as smartphones or smartwatches, as well as data that can be extracted from social media and other online activities, already make it possible to predict cognitive abilities, personality traits, and mental illnesses, as well as to reveal acute mental states. In this article, we explain the methodological concepts behind these current developments, illuminate the possibilities and limitations, and address ethical and social aspects arising from the use.Entities:
Keywords: Biomarker; Ethics; Machine learning; Precision medicine; Prediction
Mesh:
Year: 2021 PMID: 34608537 PMCID: PMC8563439 DOI: 10.1007/s00115-021-01197-8
Source DB: PubMed Journal: Nervenarzt ISSN: 0028-2804 Impact factor: 1.214