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Artificial replication cohort: Leveraging AI-fabricated data for genetic studies.
Smyk, Wiktor; Adrych, Krystian; Krawczyk, Marcin.
Afiliação
  • Smyk W; Department of Gastroenterology and Hepatology, Medical University of Gdansk, Gdansk, Poland.
  • Adrych K; Department of Gastroenterology and Hepatology, Medical University of Gdansk, Gdansk, Poland.
  • Krawczyk M; Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany.
Liver Int ; 44(6): 1286-1289, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38426626
ABSTRACT
Recent advancements in artificial intelligence (AI) present both opportunities and challenges within the scientific community. This study explores the capability of AI to replicate findings from genetic research, focusing on findings from prior work. Using an AI model without exposing any raw data, we created a dataset that closely mirrors the results of our original study, illustrating the ease of fabricating datasets with authenticity. This approach highlights the risks associated with AI misuse in scientific research. The study emphasizes the critical importance of maintaining the integrity of scientific inquiry in an era increasingly influenced by advanced AI technologies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article