Digital Twin Predicts Risk of Complications in Patients

A digital twin model can forecast the likelihood of complications in patients undergoing surgery, according to a study.

Researchers have developed a digital twin model to predict the risk of complications in patients undergoing surgery.

The model, which uses machine learning algorithms, is based on data from thousands of surgical procedures.

The digital twin can forecast the likelihood of complications, allowing surgeons to take preventative measures and improve patient outcomes.