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“AI-powered passive monitoring is taking off and has huge advantages over the traditional way of monitoring patients. The advantage of passive monitoring, as opposed to data collected from wearables, is that it doesn’t require patients or seniors to actively wear a device at all times. Used in a hospital setting, the tech reduces healthcare workersâ€� risk of exposure to COVID-19 by limiting their contact with patients and automating data collection for vital signs. Also, camera-based monitoring is unpopular for the simple reason that a lot of people don’t like being watched by a camera.”
― Ronald M. Razmi, AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors

“An algorithm that expedites care to a stroke patient in a chaotic emergency room (ER) has a good chance of adoption. An algorithm that reads a routine scan and provides some quantification of what the physicians can already estimate won’t be in as much demand. There are good reasons for algorithms to parse patient records to look for signs of rare diseases, but there are fewer good reasons for using them to evaluate clinical symptoms. It’s cool that AI tools can make diagnoses from scratch, but for most clinical encounters doctors are already pretty good at it.”
― Ronald M. Razmi, AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors

“The medical profession is addicted to the over use of biologically harmful CT X-Ray scans because they are so profitable.”
― Steven Magee

“It is well known to radiation researchers that multiple CT X-Ray radiation scans may lead to degraded health and possibly cancer.”
― Steven Magee

“At the age of 49, I had been in the X-Ray radiation computerized tomography (CT) scanner for two brain scans, one nasal scan, and four lung scans.”
― Steven Magee