A polygenic risk score was able to detect a high proportion of clinically significant prostate cancer. Cancer would not have been detected in 71.8% of patients with the use of PSA or MRI screening.

A new study is set to investigate how AI could significantly improve doctors’ decisions regarding prostate cancer treatment. While diagnostic methods for the disease have become safer and more precise ...

Please provide your email address to receive an email when new articles are posted on . A new model showed greater accuracy at predicting prostate cancer mortality vs. existing tools. It incorporates ...

Researchers at the Icahn School of Medicine at Mount Sinai have developed an advanced artificial intelligence (AI)-driven tool to improve the management and prognosis of prostate cancer. Recent ...

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment ...

PANAMA CITY, Fla. (WJHG/WECP) - Hope Regional Medical Center in Panama City is now using a powerful new diagnostic tool in the fight against Prostate Cancer. Doctors at the center have always used CT ...

In cases of clinical equipoise, the highest MMAI score quartile could guide selective treatment intensification among patients with high-risk nonmetastatic prostate cancer. An artificial ...

For men at the highest risk of prostate cancer as determined by a polygenic risk score, the percentage found to have clinically significant disease was higher than the percentage that would have been ...