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Using artificial intelligence in medical school admissions screening to decrease inter- and intra-observer variability.

Graham KeirWillie HuChristopher G FilippiLisa EllenbogenRona Woldenberg
Published in: JAMIA open (2023)
These results demonstrate the feasibility of an AI approach applied to medical school admissions screening decision-making. Model explainability and supplemental analyses help ensure that the model makes decisions as intended.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • decision making
  • deep learning