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Leveraging Generative AI to Accelerate Biocuration of Medical Actions for Rare Disease.

Enock NiyonkuruJ Harry CaufieldLeigh C CarmodyMichael GarganoSabrina ToroPatricia L WhetzelHannah BlauMauricio Soto GomezElena CasiraghiLeonardo ChimirriJustin T ReeseGiorgio ValentiniMelissa A HaendelChristopher John MungallPeter Nick Robinson
Published in: medRxiv : the preprint server for health sciences (2024)
The results of this project underscore the potential of generative AI to accelerate precision medicine by enabling a robust and comprehensive curation of the primary literature to represent information about diseases and procedures in a structured fashion. Although we focused on MAxO in this project, similar approaches could be taken for other biomedical curation tasks.
Keyphrases
  • quality improvement
  • artificial intelligence
  • systematic review
  • healthcare
  • working memory
  • deep learning
  • human health