Using prostate MRI before a biopsy is a real advance in prostate cancer diagnosis. Multiple randomized trials have shown that imaging the prostate first and then targeting suspicious lesions finds ...
Prostate cancer is the second most commonly diagnosed cancer among men worldwide, with an estimated 1.55 million new cases in ...
A new study shows that an interpretable AI model fusing 18F-PSMA-1007 PET/CT and multiparametric MRI can predict prostate ...
Chinese researchers have built a machine-learning nomogram that combines biparametric MRI radiomics, clinical variables, and ...
A lack of generalizability in the early days of AI development was one of the biggest caveats attached to the technology.
High-resolution microultrasonography-guided biopsy was non-inferior to MRI fusion-guided biopsy for detecting clinically significant prostate cancer (detection rates, 47.1% and 42.6%, respectively), a ...
There are several strategies for the early detection of prostate cancer. The first step is often a blood test for prostate-specific antigen (PSA). If PSA levels exceed a certain threshold, the next ...
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Profound Medical and Telix Pharmaceuticals partner to advance prostate cancer imaging and treatment education
Profound Medical (NASDAQ:PROF) and Telix Pharmaceuticals (NASDAQ:TLX) have signed a co-education agreement aimed at increasing physician awareness of how advanced diagnostic imaging can support ...
TORONTO, Jan. 15, 2026 (GLOBE NEWSWIRE) -- Profound Medical Corp. (NASDAQ:PROF; TSX:PRN) ("Profound" or the "Company"), a commercial-stage medical device company that develops and markets AI-powered, ...
Aggressive margin reduction with MRI-guided stereotactic body radiotherapy (SBRT) led to a significantly lower incidence of late genitourinary and gastrointestinal toxicities at 2 years compared with ...
Robert Uzzo, MD, MBA, of Fox Chase Cancer Center discusses an evolution in prostate cancer screening modalities.
Through GE Healthcare's AI Innovation Lab, Mass General Brigham and UW-Madison will pair the company's magnetic resonance imaging foundational model with real data from their hospital systems and then ...
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