AI used for embolism risk identification
A local hospital is using AI technology to identify patients at risk of venous thromboembolism (VTE) and provide timely intervention and treatment.
VTE refers to blood clotting that starts in a vein. It is the third leading vascular problem after heart attack and stroke. It has minor symptoms in its early stages, but can develop quickly and present a high risk of fatality. About 60 percent of VTE cases are related with hospitalization and it has become a major complication to medical quality and safety, said officials from Shanghai Tenth People’s Hospital.
Post-surgery patients, especially those receiving knee and hip replacement surgery, are at high risk for VTE. Pregnant women, new mothers and tumor patients are also vulnerable, doctor said.
The hospital developed an AI-based system to evaluate every hospitalized patient’s risk of VTE by using medical data for early identification, early intervention and early treatment.
“The detection rate of patients with VTE risk increased by 83 percent and the time for detection has shorted by 87 percent, compared with ordinary exams by medical staff, who can save 600 hours per week in total,” said Li Jiyu, the hospital’s vice president.
The hospital said it is promoting the AI system to other hospitals to enhance standards for VTE prevention and control.
An AI system evaluates the risk of VTE for every hospitalized patients at Shanghai Tenth People's Hospital.
The AI system
A patient with VTE receives surgery at Shanghai Tenth People's Hospital.
