Excel Medical, a medical technology firm in Florida, has produced artificial intelligence that can accurately predict whether a patient is at risk of sudden and unexpected death.
Artificial intelligence can predict unexpected death in 90% of cases.
For this software, scientists have integrated a data system for two million patients; from Stanford University Hospital and Childrens Hospital Lucille Packard; a record that includes data on physiology, medical history, familial history of diseases, age, what drugs consumes, and many other information for each patient; after which they developed a program that compares the symptoms with the time that a patient died. With all this, artificial intelligence can automatically calculate the risk of worsening the patient’s condition up to 6 hours before the doctors notice it.
The university says that one of the reasons for the program was to allow patients to spend their last months in their homes. This prediction, when the patient dies, would give hospitals the opportunity to fulfill the patient’s last wishes; as well as allow farewell to be done with the family, before it is too late.
Currently, the plan is to implement this technology in hospitals; and then make AI carrying devices that could be used by people at their homes.