Explainable artificial intelligence-based prediction of poor neurological outcome from head computed tomography in the immediate post-resuscitation phase

HIGHLIGHTS

• who: Yasuyuki Kawai from the DepartmentMedical University have published the Article: Explainable artificial intelligence-based prediction of poor neurological outcome from head computed tomography in the immediate post-resuscitation phase, in the Journal: Scientific Reports Scientific Reports
• what: From the entire dataset, 257 cases were used to construct the model, and 64 cases were used to validate the model. This study showed that a machine_learning model for predicting poor outcomes using head CT images immediately after resuscitation may perform as well as or better than previous methods. Since these patients were presumed to have good . . .
  

   

  

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