An artificial intelligence algorithm developed at Sheba Medical Center in Israel can identify patients at high risk of pulmonary embolism as soon as they walk through the hospital doors, a study published in the Journal of Medical Internet Research found. Using only information available from the patient’s medical history, the machine learning tool flagged high-risk patients before the initial clinical checkup occurred.