#diagnosis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #diagnosis, aggregated by home.social.
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New post: It Was in the File
https://lanie.work/advocacy/it-was-in-the-file/
#Disability #Autism #Idd-Services #Long-Term-Care #Executive-Function #Diagnosis #Group-Home #Advocacy
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New post: It Was in the File
https://lanie.work/advocacy/it-was-in-the-file/
#Disability #Autism #Idd-Services #Long-Term-Care #Executive-Function #Diagnosis #Group-Home #Advocacy
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New post: It Was in the File
https://lanie.work/advocacy/it-was-in-the-file/
#Disability #Autism #Idd-Services #Long-Term-Care #Executive-Function #Diagnosis #Group-Home #Advocacy
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New post: It Was in the File
https://lanie.work/advocacy/it-was-in-the-file/
#Disability #Autism #Idd-Services #Long-Term-Care #Executive-Function #Diagnosis #Group-Home #Advocacy
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New post: It Was in the File
https://lanie.work/advocacy/it-was-in-the-file/
#Disability #Autism #Idd-Services #Long-Term-Care #Executive-Function #Diagnosis #Group-Home #Advocacy
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https://www.europesays.com/at/300028/ PMOS-Leitlinie: Nur jede dritte Frau bekommt eine gesicherte Diagnose #AI #ARTIFICIALINTELLIGENCE #AT #Austria #BreathSensor #Device #Diabetes #Diagnosis #Diet #Gesundheit #Guideline #Health #InsulinResistance #Ketogenic #KI #KünstlicheIntelligenz #Lipedema #Melatonin #MetabolicSyndrome #Obesity #Österreich #Pain #PCOS #PMOS #Semaglutide #Stress #Supplements #VitaminD #VitaminE #Women
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The more I get into #psychology the more it seems a lot of #theories are built upon #pseduologic and made by horrible #people. And lot of #diagnosis criteria seem rather abstract and subjective. Like what’s flamboyant? What’s deviant? What’s extreme? Too many times things are viewed through a #traditionalist, #capitalistic, #Western lens.
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A quotation from Oliver Wendell Holmes, Sr.
You can never be too cautious in your prognosis, in the view of the great uncertainty of the course of any disease not long watched, and the many unexpected turns it may take.
I think I am not the first to utter the following caution : —
Beware how you take away hope from any human being. Nothing is clearer than that the merciful Creator intends to blind most people as they pass down into the dark valley. Without very good reasons, temporal or spiritual, we should not interfere with his kind arrangements. It is the height of cruelty and the extreme of impertinence to tell your patient he must die, except you are sure that he wishes to know it, or that there is some particular cause for his knowing it. I should be especially unwilling to tell a child that it could not recover; if the theologians think it necessary, let them take the responsibility. God leads it by the hand to the edge of the precipice in happy unconsciousness, and I would not open its eyes to what he wisely conceals.Oliver Wendell Holmes, Sr. (1809-1894) American poet, essayist, scholar
Speech (1859-03-10), Valedictory Address, Harvard University School of MedicineSourcing, notes: wist.info/holmes-sr-oliver-wen…
#quote #quotes #quotation #qotd #bedsidemanner #diagnosis #hope #hopelessness #ignorance #information #medicalcare #medicine #prognosis #terminal #doctor
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Artificial intelligence detects breast cancer 5 years before it develops
https://www.breastcancer.org/screening-testing/artificial-intelligence 🔗
#MedEd #MedSpout #SCIENCE #Technology #Oncology #Cancer #Diagnosis #AI
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If I asked you to name the most common causes of exocrine pancreatic insufficiency (EPI/PEI), what would you list?
And why?
Food for thought on what medical literature commonly - incorrectly - states as the most common cause of EPI: https://bit.ly/43E9wg5
#Gastrodon #gastrointestinal #diagnosis #screening #Gastroenterologist #pancreas #pancreaticcancer #pancreatitis #chronicpancreatitis #CysticFibrosis #exocrinepancreaticinsufficiency #PEI #EPI
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For once, an #AI issue where I *can* speak with a certain amount of authority.
I've been hearing "expert systems outperform human #diagnostics, so pretty soon human #physicians will be obsolete" for a few years now. It's closely akin to "#airliners fly themselves these days, so what do we need #pilots for?" In both cases, people are paying attention to the best-case scenario with no understanding of the *enormous* number of how many and various the worse cases really are.
This is complicated by the fact that in most of #medicine (although not necessarily #emergency medicine, the author's specialty) and in nearly all of air travel, the best case is also the normal case. Most of the time, whatever is wrong with you can be diagnosed and treated. Almost all the time, when you get on a plane, you'll walk off at the other end of the trip as healthy as when you boarded. It's reasonable to expect those outcomes.
Not-best and not-normal cases add up really fast.
Without any false modesty whatsoever: as a #medic, I learned a truly impressive degree of clinical judgement. From the first moment I saw a patient, I had a pretty good idea of #diagnosis, #treatment, and #prognosis. (Sadly, if my initial call was "this one's not going to make it," I was almost always right. The exceptions kept me going.) I learned from the best—one of my mentors had learned *his* trade in rural Guatemala, where resources were terribly sparse and human judgement was the only line between life and death. He held back death for decades, and it came for him far too early. Gene Gibbs, RIP.
I can't code that. Neither can anyone else, and if they tell you they can, they're lying.
As a #researcher, I've done a fair amount of work in #clinical #decision #support (#CDS). The idea is simple, and valid: no human, or team of humans, can remember everything they need to know. There's simply too much knowledge for the brain to hold and recall on demand. Subtle relationships exist between disparate types of data that *nobody* knows, until we tease out the numbers. We're doing this, right now. It is saving lives and relieving suffering, right now.
The key word there is "support." Humans still absolutely, positively, 100% need to be in the loop.
Maybe that will change, someday. I'm not saying it's impossible, for two reasons. First, any time anyone says "computers will never be able to ___" they're usually proven wrong. Second, I don't want to limit my and my colleagues' imaginations. We need to stay focused, but it is a *good thing* for our reach to slightly exceed our grasp. That's how #science happens!
Just not this day, and not for many days to come. Right now, we need to keep muddling along. There's not much more human than that.
https://www.fastcompany.com/90863983/chatgpt-medical-diagnosis-emergency-room
