Approximately 5 to 15 percent of osteoarthritis patients undergoing joint replacement surgery are known to suffer from side effects after the procedure. (Image: Kobiz Media)
SEOUL, Feb. 17 (Korea Bizwire) — A South Korean research team has developed an artificial intelligence (AI) program that studies the distinct features of patients undergoing joint replacement surgery to predict the risks of side effects.
Researchers from Seoul National University Hospital announced Tuesday that they had developed an AI-based web platform that can predict the risk of acute kidney injury following joint replacement surgery in the knee.
Approximately 5 to 15 percent of osteoarthritis patients undergoing joint replacement surgery are known to suffer from side effects after the procedure.
The research team collected medical data from 5,757 patients who had undergone joint replacement surgery to develop a prediction model.
This model predicts the risk of a kidney injury by typing in six variables of physical classification, gender, types of anesthetics, renin–angiotensin–aldosterone system (RAAS) inhibitors, tranexamic acid, and creatinine to describe a patient awaiting joint replacement.
The system estimates the risk that each variable poses against the kidney, and is capable of proposing clinical measures to, for instance, conduct spinal anesthesia instead of a general one.
The model is one-of-a-kind in that it can measure the risk of acute kidney injury simply by typing in the description of a patient awaiting joint replacement surgery, the research team explained. The model’s prediction accuracy stood at 89 percent.
H. M. Kang (hmkang@koreabizwire.com)
