AI analysis of multiple factors of prostate cancer has been found to be precise, according to the Korea Institute of Science and Technology (KIST). Current diagnosis of prostate cancer based on a Prostate-Specific Antigen (PSA) test, has an accuracy level as low as 30%.
A research team led by Dr. Kwan Hyi Lee from the Biomaterials Research Center and Professor In Gab Jeong from Asan Medical Center developed a technique for diagnosing prostate cancer from urine in twenty minutes with almost 100% accuracy. The non-invasive technique introduces a smart AI analysis method to an electrical-signal-based ultrasensitive biosensor.
The team developed an ultrasensitive semiconductor sensor system capable of simultaneously measuring trace amounts of four cancer factors in urine for diagnosing prostate cancer. They trained the AI using the correlation between the four cancer factors obtained from the developed sensor. The trained AI algorithm identified those with prostate cancer by analyzing complex patterns of the detected signals. The diagnosis using AI analysis successfully detected 76 urinary samples with almost 100 percent accuracy.
The team expects that the method will also provide precise diagnoses of other cancers utilizing a urine test.
