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Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?

Nejc KozarVilma KovačMilan Reljič
Published in: Journal of assisted reproduction and genetics (2021)
Among the compared methods, the random forest and PLS models demonstrated superior performance in predicting the clinical outcome of IUI. With additional research and clinical validation, AI methods may be successfully used in improving patient selection and consequently lead to better clinical results.
Keyphrases
  • artificial intelligence
  • patients undergoing
  • machine learning
  • big data
  • case report
  • deep learning
  • climate change