Ai Model Predicts Patient Decline With Near-perfect Accuracy Using Facial Expressions

Researchers have developed a Convolutional Long Short-Term Memory (ConvLSTM) model that can accurately predict health risks by analyzing facial expressions. This could improve early detection and patient outcomes in hospital settings. The study highlights the importance of facial expressions in human communication and their potential use in healthcare.