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.

Diagnostic tools based on artificial intelligence are now making their way into Norwegian hospitals. AI can independently read X-ray images and detect bone fractures, or assess cancer tumors in both ...

Increasing use of blood tests to detect prostate cancer is leading to overworked doctors. Researchers at the Norwegian ...

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 ...

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 ...

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 ...

Diagnostic tools based on artificial intelligence are now making their way into Norwegian hospitals. AI can independently ...

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 ...

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 ...