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Early feasibility and usability study of a novel obstetric blood loss quantifying device.

Ahmed LutfiDavid EustaceBruce McKeeStephen FaulRichard A GreeneJohn R Higgins
Published in: European journal of obstetrics, gynecology, and reproductive biology (2024)
An early feasibility study in clinical settings suggests that a novel device for quantifying obstetric blood loss was more accurate than volumetry in measuring the hemoglobin content of birth waste. Health professionals also found the device highly usable. This data suggests that there is much potential in transitioning from a "human-made" to a "machine-made" assessment of blood loss. Future studies will entail additional testing of the device to assess its impact on the morbidities associated with postpartum hemorrhage.
Keyphrases
  • pregnant women
  • endothelial cells
  • electronic health record
  • machine learning
  • big data
  • deep learning
  • current status
  • artificial intelligence
  • induced pluripotent stem cells
  • social media
  • red blood cell
  • life cycle