- 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 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 ...

Requesting a copy of your pathology report, asking questions of your doctor and playing an active role in decision-making are important ways that men should take control of their health. This is ...

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 ...

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 ...

Donald F Gleason in 1966 created a unique grading system for prostatic carcinoma based solely on the architectural pattern of the tumor. 1, 2 Another innovative aspect of this system was, rather than ...

Just Enough Palliation: Radiation Dose and Outcome in Patients With Non–Small-Cell Lung Cancer A prospectively designed algorithm was applied retrospectively to a cohort of 758 patients with ...

Alphabet’s life sciences arm, Verily, is partnering with the digital pathology platform Lumea to improve the objectivity and efficiency of prostate cancer diagnosis, prognosis and therapy selection.

Benefits include better discrimination between risk levels. (HealthDay News) — Patient-centered pathology reports (PCPR) help patients to understand prostate cancer results better than current ...

Compared with before the pandemic, men undergoing radical prostatectomy during the pandemic were more likely to have extraprostatic disease, according to investigators. The risk for adverse pathologic ...

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 ...