7 thoughts on ““Almost Ready” Is Not The Same As Ready”
I shudder to think when the day arrives that my doctor is a chat session on MyChart using a Bluetooth connectable arm cuff and blood analyzer. Likelihood of cure computed after a full scan including using your health insurance database for cost/benefit resolution. Human optional.
“When your phone light comes on, please point it into your open mouth, look into the camera and say ahhh. If you don’t have a ChipID implant, please scan your credit card now for a diagnosis and to receive your prescription by mail. We see your insurance doesn’t support Doc 3, so by default your diagnosis will be conducted by Doc 2.”
This is “medicine” related but not particularly about AI:
Dr. Greg Fahy: Thymus Regeneration & Boosting The Immune System For Longevity
I have been following Dr Fahy for a few years now; his approach seems to yield real time age-reversal results in humans; (at least measured by epigenetic DNA methylation “clocks”).
Could be a “bridge technology” for us older folks keeping us alive/healthy long enough for the more robust 2nd generation age-reversal tech in the pipeline in the next 10-20 years.
I had an electromyography a couple of days ago. It was a shocking experience. The attending doctor was a Chinese woman. The attending nurse was a Chinese woman. The ordering specialist was an Iranian woman. The referring physician was, astoundingly enough, a white woman over 6 feet tall. Who needs AI?
I pity the radiologists who blow off correct diagnosis from AI. Failure to diagnose is still a thing, and they’re screwed.
A classmate of mine went into diagnostic rads, and became a specialist in reading mammograms. He lives on a beach in Hawaii, works three mornings a week remotely, and pays more in malpractice premiums than I made a year.
A radiologist who misses a brain bleed because he didn’t believe AI? Wow.
In medicine you have double blind trials to remove bias. Maybe you need a similar approach here. A diagnosis is done pseudonymously. A radiologist doesn’t know a-priori if the diagnosis given him for an x-ray came from another radiologist or an AI. To eliminate bias. I don’t know how a board of ethics would look at such a tactic.
Maybe they can pull the old “medical expert systems” from back in the day, and train the LLMs on them.
/sarc
AI can correlate and analyze the streams of data that busy and distracted human minds have difficulty managing. The typical aged American has multiple problems managed by multiple doctors using multiple methods. I have been involved lately with another person’s medical situation. The numerous doctors are all above average in their qualifications and dedication. Yet Web search augmented by AI – mostly Perplexity and Grok – has helped me interpret some test results, undiagnosed symptoms and missed aspects of drug uses and interactions.
I shudder to think when the day arrives that my doctor is a chat session on MyChart using a Bluetooth connectable arm cuff and blood analyzer. Likelihood of cure computed after a full scan including using your health insurance database for cost/benefit resolution. Human optional.
“When your phone light comes on, please point it into your open mouth, look into the camera and say ahhh. If you don’t have a ChipID implant, please scan your credit card now for a diagnosis and to receive your prescription by mail. We see your insurance doesn’t support Doc 3, so by default your diagnosis will be conducted by Doc 2.”
This is “medicine” related but not particularly about AI:
Dr. Greg Fahy: Thymus Regeneration & Boosting The Immune System For Longevity
https://www.youtube.com/watch?v=Xj45rcfzrbM
I have been following Dr Fahy for a few years now; his approach seems to yield real time age-reversal results in humans; (at least measured by epigenetic DNA methylation “clocks”).
Could be a “bridge technology” for us older folks keeping us alive/healthy long enough for the more robust 2nd generation age-reversal tech in the pipeline in the next 10-20 years.
I had an electromyography a couple of days ago. It was a shocking experience. The attending doctor was a Chinese woman. The attending nurse was a Chinese woman. The ordering specialist was an Iranian woman. The referring physician was, astoundingly enough, a white woman over 6 feet tall. Who needs AI?
I pity the radiologists who blow off correct diagnosis from AI. Failure to diagnose is still a thing, and they’re screwed.
A classmate of mine went into diagnostic rads, and became a specialist in reading mammograms. He lives on a beach in Hawaii, works three mornings a week remotely, and pays more in malpractice premiums than I made a year.
A radiologist who misses a brain bleed because he didn’t believe AI? Wow.
In medicine you have double blind trials to remove bias. Maybe you need a similar approach here. A diagnosis is done pseudonymously. A radiologist doesn’t know a-priori if the diagnosis given him for an x-ray came from another radiologist or an AI. To eliminate bias. I don’t know how a board of ethics would look at such a tactic.
Maybe they can pull the old “medical expert systems” from back in the day, and train the LLMs on them.
/sarc
AI can correlate and analyze the streams of data that busy and distracted human minds have difficulty managing. The typical aged American has multiple problems managed by multiple doctors using multiple methods. I have been involved lately with another person’s medical situation. The numerous doctors are all above average in their qualifications and dedication. Yet Web search augmented by AI – mostly Perplexity and Grok – has helped me interpret some test results, undiagnosed symptoms and missed aspects of drug uses and interactions.