A deep learning model was as effective as radiologists in detecting clinically significant prostate cancer on multiparametric MRI, a retrospective study suggested. In an internal test set of 400 ...
Various imaging modalities show low sensitivity for detecting pelvic lymph node invasion prior to surgery in patients with intermediate risk prostate cancer.
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Exact Imaging Reports Strong Momentum Driven by Commercial Execution and Clinical Validation in 2025
Exact Imaging, a global leader in high-resolution micro-ultrasound systems for prostate cancer, today reported strong ...
GlobalData on MSN
Telix doses first patient in TLX591-Px prostate imaging trial
Up to 105 Japanese men will be enrolled at 11 sites, with data aimed at supporting a future marketing authorisation ...
Share on Facebook. Opens in a new tab or window Share on Bluesky. Opens in a new tab or window Share on X. Opens in a new tab or window Share on LinkedIn. Opens in a new tab or window An artificial ...
AI detects prostate cancer more often than radiologists. Additionally, AI triggers false alarms half as often. This was a large-scale study where an international team transparently evaluated and ...
For prostate biopsy planning, multiparametric MRI has relatively low specificity particularly for PI-RADS 3 and PI-RADS 4 ...
A deep learning model performs at the level of an abdominal radiologist in the detection of clinically significant prostate cancer on MRI, according to a study published today in Radiology, a journal ...
According to a study published in Radiology, a deep learning algorithm performs as well as an abdominal radiologist in detecting clinically significant prostate cancer on MRI. The researchers expect ...
Telix Pharmaceuticals Limited (ASX: TLX, NASDAQ: TLX, "Telix") today announces that the first patient has been dosed in the ...
Much like someone would have an MRI to investigate the cause of back pain, the technology gives doctors eyes on what is happening in prostate tissue. VCU Medical Center is one of the major teaching ...
OAK BROOK, Ill. – A deep learning model performs at the level of an abdominal radiologist in the detection of clinically significant prostate cancer on MRI, according to a study published today in ...
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