They also had a way to share friend codes in game. I don’t remember exactly what it was but there was a mechanism that had letters on a wall and combined with a few other things you could make out someone’s code.
It is absolutely not possible to carb-count through photo recognition in a way that is reliable enough for a diabetic to safely use to make treatment decisions.
Indeed, around 2019 I was reading many computer vision papers for volume estimation and came across a few that tried to estimate the weight of the meals from pictures using the size of known objects (cutlery beside the plate). The idea was good but they were very far from accurate and not robust at all, and that was just for the weight, not even carb counting. I know CV is a fast moving field but I wouldn't bet that the tech has improved enough to be anywhere near medically safe.
I meant more in a general way, like a piece of pizza is usually around X carbs. We have apps that make the guess a bit easier but it's almost always a guess. I was thinking could this look at a photo and know there's a sweet potato, a piece of chicken and some corn and give a basic idea.
The answer is still Absolutely Not, especially since all food can involve a treatment decision for people with type 1 diabetes.
Pizza is a good example of why not. Slices come in very different sizes, sauces have very different carb content, so do crusts, and toppings.
Edit: for example this pizza(1) is 31g per slice and this pizza(2) is 73g per slice. The difference is very meaningful and the “general idea” given by photo recognition would likely be wrong to the point of dangerous for a diabetic in both cases.
If you’re looking for software that can make a guess simply for the sake of generating a number to write down and not be used in any way, a random number generator would be safer since the risk of output being misconstrued as actual information is much lower.
Yep. And the issue with pizza is the amount of fat that comes with the carbs. This quite often (depending on the position of the moon) gives you some of the carbs when you eat it to your blood, and the rest will come after several hours. What you want to do is to inject a bit of insulin before eating, then after two or three hours more while measuring your glucose levels.
Of course if you eat a Neapolitan pizza with not that much of cheese everything changes again. And YMMV, I'm just talking about my experiences.
Not only fat plays a role with pizza, but also the amount of protein in it.
When having pizza we usually add protein to the carbs.
50% immediately bolus.
Other 50% spread over 3-4 hours, and let AAPS dose the insulin.
What do you use then to make these decisions? If you use your eyes, app, nutrition label or Chatgpt, you would still have the same variables. You're still making the decision based on averages, and best guesses.
I use nutrition labels. I have absolutely no idea whatsoever why anyone would lump nutrition labels in with your eyes or chatgpt.
The people that make the label make the food. They know what they put in it. Because they made it. They wrote down what they put in it for you to read and make decisions off of. The difference is categorical.
I cook myself and i know which and how much ingredients i use and how much carbs they contain. Either from a food label or in general (like 100g of cooked potatoes contain about 16g carbs).
Then I calculate how much my serving contains.
Depending on what you eat, what type of diabetes you have and how it’s treated you may have to consider the amount of protein and fat as well (they slow digestion and cause a delayed rise in blood sugar levels). If you have an insulin pump you may want to program a delayed insulin dose to handle that.
Sounds complicated? It is, but only during the first weeks. You quickly learn the carbs content of the food you frequently eat and learn to estimate how much is on your plate. Like, two units for a bun.
There are also great nutrition apps out there that help a lot.
Personally, I take a representative sample and then use a calorimeter to test it. Anyone who doesn't do this is being grossly irresponsible and will only have themselves to blame when they eat so dangerously. I recommend a CK 5E-C5808J but you have to ensure a trained professional is helping you. Otherwise, you might as well not eat at all.
Yeah, you can try this on the ChatGPT app. Take a picture and ask ChatGPT to give you the nutrition info, then do your own calculations based on weight and the USDA database and see how it compares.
However, if you dont have carb info, the alternative is to judge yourself. Your own model may be better than gpts model, though. I would use GPTs output and at least look at it on a case by case basis
I also really love mine. It has done what it has advertised extremely well, in my opinion. Makes driving chill. I have a '24 Ioniq with HDA2 and it's a night and day difference between Comma's implementation of HDA/LKAS and stock. If the stock version is like a 3/10, OpenPilot is like a 8 or 9/10. Stock HDA would just turn off randomly in the middle of turns. Its LKAS was very jerky which not only scares you, but scares other people on the road as well.
Amazon pharmacy is probably one of the best interactions I’ve had with Amazon and pharmacies in general. We moved everything we could to it. The support has been great. Get things quickly all the information is right up front.
I have a migraine medicine (Qulipta) and have gone through half a dozen pharmacies in the last two years. The fact that I have both insurance and a manufacturers coupon seems to screw them all up, and several just stopped doing migraine meds. I am not functional without this medicine. I would literally qualify as disabled since I have migraines so often. Even two days of not having the med throws me off for a full week.
Without insurance or the coupon it's $1600/month. With insurance it's $650/month. With the coupon and insurance it's $0/month.
Amazon is the only pharmacy that didn't mess up the insurance. They also autoship on time every month. I'm not even joking when I say that I actually cried over how difficult it was with other pharmacies.
> one of the best interactions I’ve had with Amazon and pharmacies in general
Clearly they were spending too much money on it. The idea is for there to be no interaction other than a payment/delivery cycle. If there are plural positive interactions the overall system was poor (needed multiple interactions) and staffing too expensive ("best" rather than mediocre).
Agree. I also use PillPack for my recurring meds, also an Amazon company. The standard for medical company interactions is a very low bar, but both companies kill it every time.
I don't know if they still have it but they used to have a giant catalog that was the same thing in paper form. Super thin paper thousands of pages of just random stuff.
I haven't had a key fail on my 2017 yet, but the keys are all over the place in terms of how they feel. The delete key works but feels like not actuating properly. The spacebar is awful.
I basically just started reading tutorials I found online. I would decide what I want the app to do and look for tutorials or examples from github that do what I was looking for and either walk through the tutorial, or try and reverse engineer the examples I found. I'm not sure that was the most efficient way to do it, I def went down some wrong paths and took me a bit longer than I had anticipated because of it.
