Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification, Named-Entity Recognition, and Relation-Extraction Heuristics Cancer pathology findings are ...

- Results showed 100% sensitivity and reduced time to diagnosis by an estimated 65.5%, with potential to improve pathologists’ workflow in a real-world environment -Brazil-based Grupo Oncoclinicas is ...

Prostate cancer stands as a prevalent threat to men's health, ranking second in cancer-related deaths in the United States. Each year, approximately 250,000 men in the U.S. receive a prostate cancer ...

Prostate cancer is the most common cancer in men and is second most common cause of cancer deaths. Importantly, the annual rates of prostate cancer incidence continue to rise. This session will delve ...

Following in the footsteps of radiology, its brother in imaging analysis arms, digital pathology has recently become a popular canvas for artificial intelligence applications. Startups like Ibex, ...

The Prostate Cancer Foundation (PCF) today announced the recipients of its 2025 Challenge Awards, providing over $12 million in funding for 12 multi-institutional, cross-disciplinary research teams ...

Our laboratory is interested in the use of mouse models of prostate cancer to explore the pathogenesis of prostate cancer and its response to treatment. We have used the SV-40 based TRAMP model of ...

Artificial intelligence (AI) machine learning is rapidly transforming health care by powering new diagnostic tools for clinicians and medical professionals. In a historic move this week, the U.S. Food ...

The US Food and Drug Administration (FDA) has authorized marketing of artificial intelligence (AI) software to help pathologists detect prostate cancer. The program, called Paige Prostate, is the ...

Does a Custom Electronic Health Record Alert System Improve Physician Compliance With National Quality Measures for Palliative Bone Metastasis Radiotherapy? This approach aims to reduce delays in data ...