Precision of ct-derived alveolar recruitment assessed by human observers and a machine learning algorithm in moderate and severe ards

HIGHLIGHTS

• who: Ludmilla Penarrubia from the 9004, France have published the paper: Precision of CT-derived alveolar recruitment assessed by human observers and a machine learning algorithm in moderate and severe ARDS, in the Journal: (JOURNAL)
• what: The aim of this study was to assess both intra- and inter-observer smallest real difference (SRD) exceeding measurement error of recruitment using both human and machine learning-made lung segmentation (i.e. delineation) on CT. The authors showed that 5% of the total lung weight was the upper limit of the measurement error of alveolar recruitment in the . . .
  

   

  

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