University of Arizona Health Sciences researchers are using artificial intelligence to quickly identify the chemical fingerprints of pulmonary hypertension before it’s too late.
The standard procedure to detect the disease is a pulmonary artery catheterization, an invasive test where a tube is threaded from a vein in the neck or groin to the heart’s right ventricle and into the pulmonary artery to measure pressure. High blood pressure in that area indicates pulmonary hypertension.
Using technology, artificial intelligence and detective work, researchers at the College of Medicine – Tucson built original algorithms to help doctors more quickly and efficiently diagnose pulmonary hypertension.Using technology, artificial intelligence and detective work, researchers at the College of Medicine – Tucson built original algorithms to help doctors more quickly and efficiently diagnose pulmonary hypertension.But at the University of Arizona Heath Sciences, the husband-and-wife team of Ruslan Rafikov, PhD, and Olga Rafikova, MD, PhD, is using artificial intelligence to build original algorithms and feed them to computers to more efficiently diagnose the disease.
