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Nervenheilkunde 2022; 41(04): 253-257
DOI: 10.1055/a-1701-8272
Schwerpunkt

Prädiktion suizidalen Verhaltens

Von der klinischen Urteilsbildung zur künstlichen IntelligenzPrediction of suicidal behaviorFrom clinical judgement to artificial intelligence
Tobias Teismann∗
1   Forschungs- und Behandlungszentrum für psychische Gesundheit, Ruhr-Universität Bochum
,
Kevin Hilbert∗
2   Psychotherapie, Institut für Psychologie, Humboldt-Universität zu Berlin
,
Thomas Forkmann∗
3   Abteilung für Klinische Psychologie, Institut für Psychologie, Universität Duisburg-Essen
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ZUSAMMENFASSUNG

Eine Vorhersage suizidalen Verhaltens ist nicht sicher möglich. Frühe Arbeiten zeigen genauso wie aktuelle Metaanalysen, dass weder das klinische Urteil noch Risikoskalen und Fragebögen eine zufriedenstellende Vorhersage suizidalen Verhaltens erlauben. Gründe für die unzureichende Prädiktion werden erläutert und Chancen sowie Grenzen der Anwendung künstlicher Intelligenz werden reflektiert. Abschließend wird hervorgehoben, dass Suizidprävention möglich ist, auch wenn sichere Suizidprädiktion nicht möglich ist.

ABSTRACT

Prediction of suicidal behavior is not possible with certainty. Early studies as well as recent meta-analyses show that neither clinical judgment nor risk scales and questionnaires allow a satisfactory prediction of suicidal behavior. Reasons for the imprecise prediction are explained and opportunities as well as limitations of the application of artificial intelligence are considered. Finally, it is emphasized that suicide prevention is possible even though suicide prediction is not.

Schlüsselwörter

Suizidalität - Risikoabschätzung - künstliche Intelligenz - maschinelles Lernen

Key words

Suicidality - risk assessment - artificial intelligence - machine learning


Publication History

Article published online:
04 April 2022

© 2022. Thieme. All rights reserved.

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