Category: Artificial Intelligence

Advanced prostate cancer (PCa) threatens to shorten a man’s life. Advanced means PCa is no longer contained in the gland but is still within the prostate bed and groin lymph nodes. In such cases, prostatectomy is generally not done. The rationale is to avoid putting a patient through surgery with no hope of cure, yet keep reading

I’ve posted numerous blogs on the promising applications of Artificial Intelligence (AI) in the medical world. Early research and development of Machine Learning (ML) and Deep Learning (DL) show results that offer accuracy rivaling that of humans, and speed/efficiency no human can begin to approach. This all sounds glorious! However, as AI tools have become keep reading

Starting over a decade ago, I collaborated on research into MRI imaging features that lend themselves to Artificial Intelligence training sets for the detection/diagnosis of prostate cancer (PCa). As an early AI contributor, I’m always happy to learn how other PCa physicians integrate AI into their practice. I was delighted when CancerNetwork (home of the keep reading

“Artificial intelligence systems can be trained to detect and grade cancer in prostate needle biopsy samples at a level comparable to experts.” So says a Urology Today report on the uses of Artificial Intelligence (AI) in diagnosing prostate cancer (PCa). An overview of progress in AI applications was presented by Dr. Peter Humphrey (Professor of keep reading

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