Researchers used machine learning to predict the amount of money awarded for mental suffering in fatal car accident cases in Taiwan. They found that the random forest model was the most accurate in predicting these damages. The key factors influencing the amount of damages awarded were the victim's age and the amount of money the plaintiff claimed for mental suffering. This information can help people involved in lawsuits make informed decisions about whether to pursue legal action.