reading & research

Artificial Intelligence in Medicine: Predicting Alzheimer’s Disease Based on Accelerated Brain Aging

Dementia is not fun. The symptoms and conditions that signal mental deterioration are a slow and inexorable crumbling process that eventually incapacitates a person. This process places burdens on the individual patient, his or her loved ones, and even society as people are living longer. According to the Alzheimer’s Foundation, “Dementia is a general term […] CONTINUE

Artificial Intelligence in Medicine: AI Finds Incidental Prostate Cancer in Routine CT Scans

Imagine this scenario. Your doctor orders a pelvic CT scan to check if the pain you’re experiencing is due to a kidney stone or other blockage. After the scan, he says, “I’m happy to tell you there’s no evidence of stones and your kidney looks fine. Oh, and incidentally, you have prostate cancer.” Of course, […] CONTINUE

Artificial Intelligence in Medicine: AI Brings to Light Signature Writing of the Dead Sea Scrolls

What do the Great Sea Scrolls have in common with diagnosing disease? This blog takes a detour from Artificial Intelligence (AI) in medicine to a different realm before circling back to clinical use: how many individual scribes contributed to the Dead Sea Scrolls? The Dead Sea Scrolls In 1946, a treasure trove of ancient Jewish […] CONTINUE

Artificial Intelligence in Medicine: The Use of AI is a Mark of Distinction for Sperling Medical Group

In 1854, Henry David Thoreau wrote, “If a man does not keep pace with his companions, perhaps it is because he hears a different drummer.” The metaphor of marching to the beat of a different drum is an apt one for the Sperling Prostate Center and Sperling Medical Group, especially when it comes to incorporating […] CONTINUE

Artificial Intelligence in Medicine: Predicting Mental Illness Based on Facebook Posts

Sharing who we are, what we think, how we feel, etc. is human nature. We want to be connected with others. We are curious to learn from them, from simple information to what it means to be human. Today, social media platforms like Facebook have exploded the number of people with whom an individual can […] CONTINUE

Artificial Intelligence in Medicine: Neural Network Model Can Predict Shape of a Protein

By analyzing thousands of known proteins and their physical shapes, a neural network can learn to predict the shapes of others.[i] Imagine you are a biologist who has spent your career devoted to a puzzle that could change the future of medicine—yet reaching your deathbed without the answer? Perhaps, as you breathe your last, you […] CONTINUE

Predictable Relief from Painful Bone Mets

Cancer that metastasizes (spreads) to the bone can eventually lead to severe bone pain. Initially, the pain may come and go. Often, it’s worse a night. Early on, there are medications that can relieve the pain, but as it becomes more agonizing many patients end up on morphine. In addition, bone mets can weaken bones […] CONTINUE

Artificial Intelligence in Medicine: Dr. Sperling’s Early Contributions to AI in Imaging

Considering ever-developing advances in computational power and availability of large data sets, the marriage of humans and machines in future clinical practice seems inevitable. Therefore, regardless of their feelings, the radiologists should be familiar with these concepts.[i] A seemingly unquenchable thirst for efficient, highly accurate and patient-friendly imaging drives the ongoing integration of Artificial Intelligence […] CONTINUE

Artificial Intelligence in Medicine: Predicting Risk of Heart Attack or Stroke Based on CT Scans

These days, it’s more important than even to protect your personal privacy and keep your information secure. Every day, we hear about identity theft, hackers, cybercrime, and security breaches. Just the thought of a thief or cyberattack penetrating not only our individual virus protection, firewalls, etc. but also those of our banking security or credit […] CONTINUE

Artificial Intelligence in Medicine – Part 7: AI: As Good or Better Than Radiologists at Spotting Breast Cancer

Roughly 1 out of 8 women will be diagnosed with invasive breast cancer (BCa). Screening mammograms are able to detect very early lesions before symptoms, such as a palpable lump, occur. Early detection facilitates a diagnosis during a period when the probability of treatment success is highest. Standard 2D mammograms are the most used method […] CONTINUE