Antonia Seifert

ORCID: 0009-0004-3995-5477
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About
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Research Areas
  • Artificial Intelligence in Healthcare and Education
  • COVID-19 diagnosis using AI
  • Machine Learning in Healthcare
  • Birth, Development, and Health
  • Adolescent and Pediatric Healthcare
  • Topic Modeling
  • Maternal Mental Health During Pregnancy and Postpartum

Heinrich Heine University Düsseldorf
2024

Düsseldorf University Hospital
2024

Max Planck Institute of Psychiatry
2014

Background Large language models (LLMs) have demonstrated impressive performances in various medical domains, prompting an exploration of their potential utility within the high-demand setting emergency department (ED) triage. This study evaluated triage proficiency different LLMs and ChatGPT, LLM-based chatbot, compared to professionally trained ED staff untrained personnel. We further explored whether LLM responses could guide effective Objective aimed assess efficacy associated product...

10.2196/53297 article EN cc-by Journal of Medical Internet Research 2024-06-14

Fragestellung: Ziel dieser Studie war zu untersuchen, ob ausgewählte Single-Nukleotid-Polymorphismen (SNPs) in Genen des Stresshormon-Signalwegs (FKBP5, NR3C1 und CRHR1) mit depressiven Symptomen während nach der Schwangerschaft assoziiert sind.

10.1055/s-0034-1388587 article DE Geburtshilfe und Frauenheilkunde 2014-09-05

<sec> <title>BACKGROUND</title> Large language models (LLMs) have demonstrated impressive performances in various medical domains, prompting an exploration of their potential utility within the high-demand setting emergency department (ED) triage. This study evaluated triage proficiency different LLMs and ChatGPT, LLM-based chatbot, compared to professionally trained ED staff untrained personnel. We further explored whether LLM responses could guide effective </sec> <title>OBJECTIVE</title>...

10.2196/preprints.53297 preprint EN 2023-10-02
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