Category: Artificial Intelligence

At the Sperling Prostate Center we strive to stay abreast of published studies in our field of prostate MRI. There are so many areas to stay on top of. To name just a few: Advances in MRI parameters like Diffusion Weighted Imaging or Dynamic Contrast Enhanced Comparing in-bore MRI guidance vs. fusion guidance for prostate keep reading

I am an enthusiastic supporter of integrating Artificial Intelligence (AI) into prostate MRI and other clinical imaging modalities. However, where I see only gleaming promise, others see dark shadows. For instance, Liu, et al (2023) remark, “One of the primary worries by medical students is that AI will cause the roles of a radiologist to keep reading

It’s hard to imagine the imagination of science fiction writers. While many of their literary works are based in our current world, like Michael Crichton’s novel The Andromeda Strain, science fiction works are not bound by past, present or future. In fact, the majority envision scientific or technological advances that don’t yet exist. As a keep reading

As Artificial Intelligence (AI) has boomed with countless applications in virtually every field of technology and learning, medicine is also benefitting. A branch of AI called Deep Learning (DL) is modeled after the layers of neural networks involved in the brain’s learning processes. By layering algorithms, to process data, DL mimics how the brain thinks, keep reading

I had a grammar school buddy whose elderly Grandma Bess lived with his family. She was spry and alert, and always interested in the latest appliances, gadgets, etc. Her word for them was newfangled. “My, my,” she would wonder, “What won’t they think of next?” When it comes to Artificial Intelligence (AI), Grandma Bess would keep reading

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

No one wants to look like a fool at a social gathering by showing up with the wrong outfit. You wouldn’t wear a tux to a backyard BBQ, or Bermuda shorts and a pineapple shirt to a black-tie benefit. As you stand in front of your closet, foreknowledge about the nature of the event will keep reading

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

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

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