Liver Status Assessment After Coronary Artery Bypass Grafting.

Background Coronary artery bypass grafting (CABG) is a common surgical intervention used to treat severe coronary artery disease. The Model for End-Stage Liver Disease (MELD) score has become a widely used prognostic index for assessing the severity of liver disease and prioritizing liver transplantation. However, its utility in predicting outcomes in cardiac surgery procedures has not been extensively evaluated.

Machine Learning Models for Prediction of Sex Based on Lumbar Vertebral Morphometry.

Background: Identifying skeletal remains has been and will remain a challenge for forensic experts and forensic anthropologists, especially in disasters with multiple victims or skeletal remains in an advanced stage of decomposition. This study examined the performance of two machine learning (ML) algorithms in predicting the person's sex based only on the morphometry of L1-L5 lumbar vertebrae collected recently from Romanian individuals. The purpose of the present study was to assess whether by using the machine learning (ML) techniques one can obtain a reliable prediction of sex in forensic identification based only on the parameters obtained from the metric analysis of the lumbar spine.