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Detection of fake papers in the era of artificial intelligence.

Mehdi DadkhahMarilyn H OermannHegedüs MihályRaghu RamanLóránt Dénes Dávid
Published in: Diagnosis (Berlin, Germany) (2023)
This method to identify fake papers is applicable for authors, editors, and publishers across fields to investigate a single paper or to conduct an analysis of a group of manuscripts. Clinicians and others can use this method to evaluate articles they find in a search to ensure they are not fake articles and instead report actual research that was peer reviewed prior to publication in a journal.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • label free
  • real time pcr