Evidence map›Paper›PMID 34608537›Full record

ReviewDer Nervenarzt2021

[The predictable human : Possibilities and risks of AI-based prediction of cognitive abilities, personality traits and mental illnesses].

Simon B Eickhoff, Bert Heinrichs

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Der Nervenarzt, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Simon B EickhoffInstitut für Neurowissenschaften und Medizin: Gehirn und Verhalten (INM-7), Forschungszentrum Jülich, 52425, Jülich, Deutschland. s.eickhoff@fz-juelich.de.
Bert HeinrichsInstitut für Neurowissenschaften und Medizin: Ethik in den Neurowissenschaften (INM-8), Forschungszentrum Jülich, 52425, Jülich, Deutschland.
Forschungszentrum Jülich · DE

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
NIMH NIH HHS R01 MH074457
6 · The paper itself

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.

Indexed as

Mental DisordersSocial MediaArtificial IntelligenceCognitionHumansPersonalityBiomarkerEthicsMachine learningPrecision medicinePrediction

Identifiers

PMID34608537
PMCPMC8563439
OpenAlexW3204741860

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.