Sperling Prostate Center

Tag: deep learning

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

Artificial Intelligence in Medicine
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, keep reading

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

Artificial Intelligence Predicting Risk of Heart Attack or Stroke Based on CT Scans | Sperling Prostate Center
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 keep reading

Artificial Intelligence in Medicine – Part 3: Is There a Downside to AI in Medicine?

Is there a downside to artificial intelligence in medicine? - Sperling Prostate Center
From deep learning algorithms that can read CT scans faster than humans to natural language processing (NLP) that can comb through unstructured data in electronic health records (EHRs), the applications for AI in healthcare seem endless.[i] Endless application implies endless possibilities for Artificial Intelligence (AI) in medicine and healthcare. Sounds terrific! So, what’s the downside? keep reading

Artificial Intelligence in Medicine: Will Artificial Intelligence Put Radiologists Out of Business?

Will Artificial Intelligence Put Radiologists Out of Business? - Sperling Prostate Center
AI applications are entering clinics at a rapid rate, and physicians have met the technology with equal parts excitement about its potential to reduce their workload and fear about losing their jobs to machines.[i]   Who’s afraid of the big bad computer? Apparently, some radiologists—and even medical students contemplating entering that field—are fearful of being keep reading
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