Sperling Prostate Center

Category: Artificial Intelligence

Artificial Intelligence in Medicine: How Machine Learning Can Enrich MRI for Prostate Cancer

With an ever-increasing array of Artificial Intelligence (AI) applications in radiology, it’s a boom time for turning MRI into a powerhouse. In particular, both machine learning (ML) and deep learning (a particular type of ML) enable MRI of the prostate to branch out in new radiological directions. Out with the old, in with the new. keep reading

Artificial Intelligence in Medicine: AI Predicts Metastasis Better than NCCN Guidelines

What’s the best way to determine if a high-risk prostate cancer (PCa) patient is likely to have metastasis? Researchers have been busy analyzing genetic variants or other biomarkers for their prognostic value. Since no one factor has emerged as a top predictor, most doctors have relied on up-to date guidelines from the National Comprehensive Cancer keep reading

Artificial Intelligence in Medicine: Benefitting the World of Prostate Cancer

Can MRI Plus Artificial Intelligence Diagnose Prostate Cancer?
To paraphrase a famous poem, “How can AI serve prostate cancer? Let me count the ways.” In some ways, clinical researchers and software engineers have established a solid foundation for applying Artificial Intelligence (AI) to the detection, diagnosis, treatment and follow-up of prostate cancer (PCa). On the other hand, given the oceanic potential, we’ve only keep reading

Artificial Intelligence in Medicine: How AI Can Identify When to Add ADT to Prostate Cancer Radiation

Artificial Intelligence in Medicine
Aggressive prostate cancer (PCa) comes with higher chances for recurrence—and often there’s no way to know if the PCa has started to spread at the time of treatment. It’s like a time bomb with an unanswered question: has the clock been activated? Therefore, today’s clinical standard of care treats it as if the clock is keep reading

Artificial Intelligence in Medicine: Competition Improves AI’s Accuracy in Grading Prostate Cancer

How to Use a Medical “Group Mind” to Train Artificial Intelligence
According to Swedish and Dutch experts, there’s often a bias problem in Artificial Intelligence (AI) programs designed to grade prostate cancer (PCa) aggressiveness. That is, those who develop algorithms that are trained on a particular set of data are also the people who evaluate their accuracy. Where’s the objectivity in that method? There’s a risk keep reading
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