AI: The Doctor That Never Tires?

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AI: The Doctor That Never Tires?

We asked you for your opinion on the use of Artificial Intelligence (AI) in healthcare, and got the above-depicted, below-described set of results:

  • A little over half of respondents to the poll voted for “It speeds up research, and is more methodical about diagnosis, so it’s at least a good extra tool”
  • A quarter of respondents voted for “I’m on the fence—it seems to make no more nor less mistakes than human doctors do”
  • A little under a fifth of respondents voted for “AI is less prone to fatigue/bias than human doctors, making it an essential new tech”
  • Three respondents voted for “AI is a step too far in medical technology, and we’re not ready for it”

Writer’s note: I’m a professional writer (you’d never have guessed, right?) and, apparently, I really did write “no more nor less mistakes”, despite the correct grammar being “no more nor fewer mistakes”. Now, I know this, and in fact, people getting less/fewer wrong is a pet hate of mine. Nevertheless, I erred.

Yet, now that I’m writing this out in my usual software, and not directly into the poll-generation software, my (AI!) grammar/style-checker is highlighting the error for me.

Now, an AI could not do my job. ChatGPT would try, and fail miserably. But can technology help me do mine better? Absolutely!

And still, I dismiss a lot of the AI’s suggestions, because I know my field and can make informed choices. I don’t follow it blindly, and I think that’s key.

AI is less prone to fatigue/bias than human doctors, making it an essential new tech: True or False?

True—with one caveat.

First, a quick anecdote from a subscriber who selected this option in the poll:

❝As long as it receives the same data inputs as my doctor (ie my entire medical history), I can see it providing a much more personalised service than my human doctor who is always forgetting what I have told him. I’m also concerned that my doctor may be depressed – not an ailment that ought to affect AI! I recently asked my newly qualified doctor goddaughter whether she would prefer to be treated by a human or AI doctor. No contest, she said – she’d go with AI. Her argument was that human doctors leap to conclusions, rather than properly weighing all the evidence – meaning AI, as long as it receives the same inputs, will be much more reliable❞

Now, an anecdote is not data, so what does the science say?

Well… It says the same:

❝Of 6695 responding physicians in active practice, 6586 provided information on the areas of interest: 3574 (54.3%) reported symptoms of burnout, 2163 (32.8%) reported excessive fatigue, and 427 (6.5%) reported recent suicidal ideation, with 255 of 6563 (3.9%) reporting a poor or failing patient safety grade in their primary work area and 691 of 6586 (10.5%) reporting a major medical error in the prior 3 months. Physicians reporting errors were more likely to have symptoms of burnout (77.6% vs 51.5%; P<.001), fatigue (46.6% vs 31.2%; P<.001), and recent suicidal ideation (12.7% vs 5.8%; P<.001).❞

See the damning report for yourself: Physician Burnout, Well-being, and Work Unit Safety Grades in Relationship to Reported Medical Errors

AI, of course, does not suffer from burnout, fatigue, or suicidal ideation.

So, what was the caveat?

The caveat is about bias. Humans are biased, and that goes for medical practitioners just the same. AI’s machine learning is based on source data, and the source data comes from humans, who are biased.

See: Bias and Discrimination in AI: A Cross-Disciplinary Perspective

So, AI can perpetuate human biases and doesn’t have a special extra strength in this regard.

The lack of burnout, fatigue, and suicidal ideation, however, make a big difference.

AI speeds up research, and is more methodical about diagnosis: True or False?

True! AI is getting more and more efficient at this, and as has been pointed out, doesn’t make errors due to fatigue, and often comes to accurate conclusions near-instantaneously. To give just one example:

❝Deep learning algorithms achieved better diagnostic performance than a panel of 11 pathologists participating in a simulation exercise designed to mimic routine pathology workflow; algorithm performance was comparable with an expert pathologist interpreting whole-slide images without time constraints. The area under the curve was 0.994 (best algorithm) vs 0.884 (best pathologist).❞

Read: Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

About that “getting more and more efficient at this”; it’s in the nature of machine learning that every new piece of data improves the neural net being used. So long as it is getting fed new data, which it can process at rate far exceeding humans’ abilities, it will always be constantly improving.

AI makes no more nor less fewer mistakes than humans do: True or False?

False! AI makes fewer, now. This study is from 2021, and it’s only improved since then:

❝Professionals only came to the same conclusions [as each other] approximately 75 per cent of the time. More importantly, machine learning produced fewer decision-making errors than did all the professionals❞

See: AI can make better clinical decisions than humans: study

All that said, we’re not quite at Star Trek levels of “AI can do a human’s job entirely” just yet:

BMJ | Artificial intelligence versus clinicians: pros and cons

To summarize: medical AI is a powerful tool that:

  • Makes healthcare more accessible
  • Speeds up diagnosis
  • Reduces human error

…and yet, for now at least, still requires human oversights, checks and balances.

Essentially: it’s not really about humans vs machines at all. It’s about humans and machines giving each other information, and catching any mistakes made by the other. That way, humans can make more informed decisions, and still keep a “hand on the wheel”.

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  • The Brain Alarm Signs That Warn Of Dementia

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    When it comes to predicting age-related cognitive impairment:

    First there are genetic factors to take into account (such as the APOE4 gene for Alzheimer’s), as well as things such as age and sex.

    When it comes to sex, by the way, what matters here is hormones, which is why [it seems; this as technically as yet unproven with full rigor, but the hypothesis is sound and there is a body of evidence gradually being accumulated to support it] postmenopausal women with untreated menopause get Alzheimer’s at a higher rate and deteriorate more quickly:

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    Nipping it in the blood

    In new research (so new it is still ongoing, but being at year 2 of a 4-year prospective study, they have published a paper with their results so far), researchers have:

    1. started with the premise “dementia is preceded by mild cognitive impairment”
    2. then, asked the question “what are the biometric signs of mild cognitive impairment?”

    Using such tools as functional near-infrared spectroscopy (fNIRS) while the participants performed cognitive tasks, they were able to record changes in plasma levels of extracellular vesicles, assessing them with small-particle flow cytometry.

    Translating from sciencese: they gave the participants mental tasks, and while they completed them, the researchers scanned their brains and monitored blood flow and the brain’s ability to compensate for any lack of it.

    What they found:

    • in young adults, blood flow increased, facilitating neurovascular coupling (this is good)
    • in older adults, blood flow did not increase as much, but they engaged other areas of the brain to compensate, by what’s called functional connectivity (this is next best)
    • in those with mild cognitive impairment, blood flow was reduced, and they did not have the ability to compensate by functional connectivity (this is not good)

    They also performed a liquid biopsy, which sounds alarming but it just means they took some blood, and tested this for density of cerebrovascular endothelial extracellular vesicles (CEEVs), which—in more prosaic words—are bits from the cells lining the blood vessels in the brain.

    People with mild cognitive impairment had more of these brain bits in their blood than those without.

    You can read the paper itself here:

    Neurovascular coupling, functional connectivity, and cerebrovascular endothelial extracellular vesicles as biomarkers of mild cognitive impairment

    What this means

    The science here is obviously still young (being as it is still in progress), but this will likely contribute greatly to early warning signs of dementia, by catching mild cognitive impairment in its early stages, by means of a simple blood test, instead of years of wondering before getting a dementia diagnosis.

    And of course, forewarned is forearmed, so if this is something that could be done as a matter of routine upon hitting the age of, say, 65 and then periodically thereafter, it would catch a lot of cases while there’s still more time to turn things around.

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    Take care!

    When it comes to predicting age-related cognitive impairment:

    First there are genetic factors to take into account (such as the APOE4 gene for Alzheimer’s), as well as things such as age and sex.

    When it comes to sex, by the way, what matters here is hormones, which is why [it seems; this as technically as yet unproven with full rigor, but the hypothesis is sound and there is a body of evidence gradually being accumulated to support it] postmenopausal women with untreated menopause get Alzheimer’s at a higher rate and deteriorate more quickly:

    Alzheimer’s Sex Differences May Not Be What They Appear

    Next, there are obviously modifiable lifestyle factors to take into account, things that will reduce your risk such as getting good sleep, good diet, good exercise, and abstaining from alcohol and smoking, as well as oft-forgotten things such as keeping cognitively active and, equally importantly, socially active:

    How To Reduce Your Alzheimer’s Risk

    (the article outlines what matters the most in each of the above areas, by the way, so that you can get the most bang-for-buck in terms of lifestyle adjustments)

    Lastly (in the category of risk factors), there are things to watch out for in the blood such as hypertension and high cholesterol.

    Nipping it in the blood

    In new research (so new it is still ongoing, but being at year 2 of a 4-year prospective study, they have published a paper with their results so far), researchers have:

    1. started with the premise “dementia is preceded by mild cognitive impairment”
    2. then, asked the question “what are the biometric signs of mild cognitive impairment?”

    Using such tools as functional near-infrared spectroscopy (fNIRS) while the participants performed cognitive tasks, they were able to record changes in plasma levels of extracellular vesicles, assessing them with small-particle flow cytometry.

    Translating from sciencese: they gave the participants mental tasks, and while they completed them, the researchers scanned their brains and monitored blood flow and the brain’s ability to compensate for any lack of it.

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    • in young adults, blood flow increased, facilitating neurovascular coupling (this is good)
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    • in those with mild cognitive impairment, blood flow was reduced, and they did not have the ability to compensate by functional connectivity (this is not good)

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    People with mild cognitive impairment had more of these brain bits in their blood than those without.

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    Neurovascular coupling, functional connectivity, and cerebrovascular endothelial extracellular vesicles as biomarkers of mild cognitive impairment

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  • Senior Meetup Groups Combating Loneliness

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    It’s Q&A Day at 10almonds!

    Have a question or a request? You can always hit “reply” to any of our emails, or use the feedback widget at the bottom!

    In cases where we’ve already covered something, we might link to what we wrote before, but will always be happy to revisit any of our topics again in the future too—there’s always more to say!

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    So, no question/request too big or small

    “I would like to read more on loneliness, meetup group’s for seniors. Thank you”

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    In their own words:

    Get the most out of your neighborhood with Nextdoor

    It’s where communities come together to greet newcomers, exchange recommendations, and read the latest local news. Where neighbors support local businesses and get updates from public agencies. Where neighbors borrow tools and sell couches. It’s how to get the most out of everything nearby. Welcome, neighbor.

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  • Pistachios vs Pine Nuts – Which is Healthier?

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    Our Verdict

    When comparing pistachios to pine nuts, we picked the pistachios.

    Why?

    First looking at the macros, pistachios have nearly 2x the protein while pine nuts have nearly 2x the fat. The fats are healthy in moderation (mostly polyunsaturated, a fair portion of monounsaturated, and a little saturated), but we’re going to value the protein content higher. Also, pistachios have approximately 2x the carbs, and/but nearly 3x the fiber. All in all, we’ll call this section a moderate win for pistachios.

    When it comes to vitamins, pistachios have more of vitamins A, B1, B5, B6, B9, and C, while pine nuts have more of vitamins B2, B3, E, K, and choline. All in all, pistachios are scraping a 6:5 win here, or we could call it a tie if we want to value pine nuts’ vitamins more (due to the difference in how many foods each vitamin is found in, and thus the likelihood of having a deficiency or not).

    In the category of minerals, pistachios have more calcium, copper, potassium, and selenium, while pine nuts have more iron, magnesium, manganese, and zinc. This would be a tie if we just call it 4:4, but what’s worth noting is that while both of these nuts are a good source of most of the minerals mentioned, pine nuts aren’t a very good source of calcium or selenium, so we’re going to declare this section a very marginal win for pistachios.

    Adding up the moderate win, the scraped win, and the barely scraped win, all adds up to a win for pistachios. However, as you might have noticed, both are great so do enjoy both if you can!

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    When comparing sprouts to broccoli, we picked the sprouts.

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    When it comes to minerals, sprouts again lead with more copper, iron, magnesium, manganese, phosphorus, and potassium, while broccoli has more calcium and selenium.

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  • Peaches vs Plums – Which is Healthier?

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    Don’t Forget…

    Did you arrive here from our newsletter? Don’t forget to return to the email to continue learning!

    Learn to Age Gracefully

    Join the 98k+ American women taking control of their health & aging with our 100% free (and fun!) daily emails: