Artificial intelligence can be used to provide a more precise time of death, which can be crucial in e.g. murder investigations. The method was developed by researchers at Linköping University and the ...

Risk prediction models may help clinicians identify patients at risk of death or overdose after discharge against medical advice, a retrospective population-based cohort study suggested. Among 6,440 ...

A multidisciplinary team led by the University of Liège has proposed a unified neuroscientific model explaining the mechanisms behind near-death experiences (NDEs), drawing on converging empirical ...

Previous research has shown that patients discharged against medical advice are twice as likely to die and 10 times more likely to overdose. Risk prediction models may help clinicians identify ...