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.

Increasing use of blood tests to detect prostate cancer is leading to overworked doctors. NTNU has now created an AI diagnostic tool that can help lighten the burden. Diagnostic tools based on ...

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. Details on ...

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 recent abstract published in Nature Communications outlines a new, easy-to-use tool that could help guide early treatment discussions for people with mHSPC. In a nutshell, the innovative system ...

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

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 ...

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 ...

Prostate cancer is the second-leading cause of cancer death in American men. About 1 in 8 men will be diagnosed with prostate cancer in their lifetime, and the risk varies depending on age and race.

Researchers have developed a simple new tool that can identify the risk level of metastatic prostate cancer patients earlier. At the time of diagnosis, the test can predict how well the patient will ...