As others have said, the analysis might be risky. I don’t want to trust interpretation to anyone but myself (bear my own risk) or my clinician. But just remembering to capture the data and making it easily time alignable and possible augmentable in the future would be useful.
Show HN: GlycemicGPT – Open-source AI-powered diabetes management
51–60 of 69 posts
Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#52I'm a T1D and tbh it's not that hard to manage, I just wouldn't need that. But for kids or the elderly, I see a use case. The hardest to learn was that an unhealthy lifestyle resulted in a diabetes that was harder to manage. Too much carbs, not enough exercise, etc. After adjusting my lifestyle, it became quite easy. The most pain, in my experience, comes from the discrepancy between the CGM - measured value and the…
Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#53I don't think that LLMs are trustworthy companions in managing a complex metabolic disease like diabetes - especially if you deviate (ever so slightly) from the norm (very lean, very active, strict diet, etc.)! I'm a T1D myself and like to experiment with ChatGPT (or Opus). My experiences are mixed LLMs are overly cautious when it comes to correcting with insulin. They regularly advise against correcting before going…
Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#54As a urologist who built and runs his own clinic management software, I'd encourage thinking about this question early: what does the system do when the LLM refuses to answer, returns malformed JSON, or hallucinates a glycemic value? In medical contexts, a 'silent failure' (system continues despite bad data) is much worse than a noisy failure (system stops and asks the user). The 'happy path' for an LLM-powered medic…
Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#55I'm a T1D who has an insulin pump looping with AndroidAPS and NightScout, what does this give you that Nightscout and Autotune doesn't give you? And how do you deal with AI hallucinations?
Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#56Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#57But let me say one thing: I’ve been diabetic for more than 20 years. Ten years of management with finger pricks, three measurements a day, and insulin pens (thinking about it now, it feels completely insane that anyone could imagine managing this madness in such a primitive way). Then came years of CGM systems (I’m on my third one now, with different types of sensors, but that’s not the point).
I tinkered, automated, hacked things. But in the end I came to one conclusion: you need a competent specialist (someone who also understands that we tend to be a bit tech-obsessed) who, besides listening to you, actually imposes a strategy. We are the ones who need to adapt to the mainstream approach so we can speak the same language and have methods that are compatible with “everyone else.” No doctor will ever fully understand your custom system, and meanwhile the key to proper management is not in what you built.
Precise carb counting (without cheating yourself), correct boluses given at the right times, marking exercise, boredom and repetition, and being lucid about the effects of changes (agreed upon beforehand!) to CGM settings — changes that should only be made when you’re certain you’ve been a “good and precise patient.”
I’m saying this from the perspective of my own devastated situation. I now have an HbA1c of 5.8, but only after 20 years of smashing my head against the wall (and suffering incredible damage, many mistakes, and the classic “I’ve figured it all out myself” approach).
Stay strong.
Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#58I don't think that LLMs are trustworthy companions in managing a complex metabolic disease like diabetes - especially if you deviate (ever so slightly) from the norm (very lean, very active, strict diet, etc.)! I'm a T1D myself and like to experiment with ChatGPT (or Opus). My experiences are mixed LLMs are overly cautious when it comes to correcting with insulin. They regularly advise against correcting before going…
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Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#59Earlier quoted context omitted.
"Baseline adult competence" was load-bearing there. This is not an app for the general public.
> This is not an app for the general public. Can you point me to where it explicitly says that this app is not to be consumed by the general public? Or explain how that could even be enforced? And my entire point was "baseline adult competence" means very little. Competent in what? Technology? Insulin administration? Both? If they're competent in technology but not insulin administration, than this is obviously a bad…
Nursed someone back to health and went through a T1D pregnancy and certainly had to work with the clinicians during; Desperately: There is use for this software, and no greater need to bury it or unmake it than it is to bury or unmake Facebook groups or other discussion venues.
In fact, software that actually reads literature and presents perspectives actually derived from plausibility from a scientific basis is in many cases a 100% increase of availability of such a perspective. Doctors – from experience – may not offer that. And forum lore rarely does.
Software that actually reaches into literature – which LLMs do – and presents its perspective with the required framing is arguably a strict improvement to the infohazardous environment of a given patient with a difficult condition like T1 diabetes.
And I ask for this discussion's participants' understanding of the sarcastically wry use of "basic adult competence". It was at once arrogant and caring, and put forward… in something as quasi-serious as a HN discussion. I think that's OK.
Re: Show HN: GlycemicGPT – Open-source AI-powered diabetes management
#60Does it prompt logging? For example, when I was trying to monitor my BG after diagnosis, I tried to log my meals to correlate later, but 1) would forget and 2) wouldn’t have the energy to time align the stats. So a tool that even saw changes in BG and shot me a text or message (did you eat/exercise do something @ [time]?) and used the LLM or something else to capture and enrich the metadata. Paired with boring things…