I would be wary to put AI functionality in my app, especially if it is a medical or health app.

It looks like the intentions are good, but it reminds me of some indie hacker with zero AI (apart from wrapper apps) or therapist background offered “therapist AI”.

Some people don’t understand how much garbage AI outputs, and these people might not be skeptical enough when it comes to taking medical advice from gpt

Therac-25

https://en.wikipedia.org/wiki/Therac-25

I don't know, I understand the advice and I guess that's probably one of the reasons Loop (https://loopkit.github.io/loopdocs/) is not on the App Store. If they had turned their project into another data-logging platform we wouldn't have commercial closed loop systems.

I came here to say the same as the parent comment - it's an amazing achievement, but you may well have built a medical device which needs certification in order to be on the market in the territories you want to use it in.

I work (freelance) with a consultancy [1] that helps specifically with software-as-a-medical-device (SaMD). My email is in my profile if you want to chat about what might be the best way forward.

[1]: https://www.hardianhealth.com/

Hey, Thanks for asking.

The Islet app is designed as a knowledge base that logs crucial data, including insulin dosages, meals, and physical activities. It aims to provide users with insights into how these factors interact to impact their blood sugar levels. Here's a breakdown of how ChatGPT integrates into the app and what data is involved:

What kind of data powers ChatGPT in Islet?

The ChatGPT component in Islet acts as a translation and query layer rather than the sole knowledge source. Islet’s knowledge base aggregates and organises the user’s logged data, such as:

- Glucose Levels: Derived from CGM (Continuous Glucose Monitor) data. This Data is currently on a 3hr delay in the app.

- Insulin Dosages: Logged by the user to capture the timing, type, and amount of insulin administered.

- Meals: Users can log meals in detail, including macronutrient composition, portion sizes, and timing.

- Activities: Logs include exercise type, intensity, and duration, as physical activity significantly impacts glucose regulation.

Does ChatGPT provide advice?

While the app itself does not directly provide medical advice, the ChatGPT integration facilitates better use of the logged data by enabling the user to ask targeted questions. For example:

- "How has my blood sugar been affected by pasta meals over the past two weeks?"

- "What impact does my 30-minute cycling routine typically have on my glucose levels?"

- "Are there patterns between my evening meals and morning glucose levels?"

Purpose of the App

The primary purpose of Islet is to empower users with a system that captures and organises their diabetes-related data into a knowledge base. The ChatGPT layer makes querying this knowledge base intuitive by translating user questions into actionable insights, offering:

1. Pattern Analysis: It helps users understand trends by analysing recurring meals and activities regimens and their effects on blood sugar levels.

2. Education: Users gain a better understanding of their unique responses to different scenarios, supporting informed decisions in their diabetes management.

By focusing on personalised, data-driven insights rather than generic advice, Islet ensures that the ChatGPT integration remains a helpful tool for exploring user-specific trends.

As a person with Hashimoto's and struggle with Hashi flares that last a few weeks at a time, I've been working on a PWA that helps me track various things. It is "modular" and lets you track anything you want, so mine is set up to track medicine, food/diet, stress level, exercise, and I can export the text-log and email it to whoever I want.

I was daily driving it for a few weeks just to see if I wanted to do anything with it, but a flair up and life got in the way.

I have no real plan to release it, but I might add the PWA to github and maybe let other's actually run with it.

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.

It's probably slightly worse than an educated guess?

>Is that even possible?

No.

Thanks so much ! Appreciate the kind words about Islet. It still has a long way to go !

There's been one for years already. Instead of sending your data to ChatGPT, it uses multiple scientific models to calculate your insulin resistance, basal dose and can give you an accurate amount of insulin to dose based on the number of carbs you input. What the Android app can do and iOS makes very hard is to control your pump and close the loop. It is illegal to distribute health apps in binary form if they control your pump, but very much legal in source code form. Try it out:

https://androidaps.readthedocs.io/en/latest/

This is a life-changing app. It lowered my A1c values from around 8% to 5.5%. What is so special with Android is how easy it is to side-load apps, so you can compile AndroidAPS by yourself and keep using it. In Apple ecosystem you need the developer subscription and you also need to reinstall the app every now and then. There is still the Loop app if any iOS users want to try, but this complication from Apple has just pushed me to Android ecosystem for the past decade already.

https://loopkit.github.io/loopdocs/

> what library you are using?

Not the OP but these look like they are Apple's own SwiftUI Charts framework:

https://developer.apple.com/documentation/charts

Thanks for pointing this out, forgot to update the Privacy Policy on the website.

High blood sugar is a symptom of the underlying pathology—the lack of insulin in T1, low sensitivity to insulin in T2 (itself typically but not always secondary to other factors such as visceral obesity). Low carbohydrate intake can manage the deleterious effects of T2, but it is not a cure.

Depends on the type. For instance, my diabetes is caused by scarring of the pancreas due to another medical condition, and no diet can undo that.

No, muscles and the liver constantly release glucose into the bloodstream. Type 1 diabetics can’t produce any insulin and would end up in hyperglycemia.

no. type one diabetics do not produce insulin. the immune system attacks insulin producing cells in the pancreas. there is no "elimination."

No. Though low-carb diets are generally a good idea for those suffering from diabetes, it doesn't eliminate it, and in fact one of the most life-threatening situations a T1 diabetic can be in (hypoglycemia) needs to be addressed by giving them as close to pure sugar as you can manage (and the person themselves might be too out of it to manage on their own - advanced hypoglycemia impairs brain function).

See sources below. The answer is… No! All food requires insulin. This is true for type-1-diabetics and non-diabetics. Fat and protein require insulin, but via a “post-bolus” instead of a “pre-bolus”. Another issue is fat and protein cause insulin resistance.

Here’s a link to an insulin calculator for fat and protein: https://drlogy.com/calculator/warsaw-method

Sources: “The effect of fat and protein was additive, with blood glucose concentrations increasing by 5.4 mmol/L (97.2 mg/dl) at 5 h, the sum of the individual incremental increases for protein and fat” https://diabetesjournals.org/care/article/38/6/1008/37384/Im...

“Meal composition impacts postprandial glucose excursions. Education on the impact of high-fat and high-protein meals and the adjustment of insulin dosing is necessary.” Source: ADA Standards of Care in Diabetes—2024 https://diabetesjournals.org/care/article/47/Supplement_1/S2...

“Match mealtime insulin doses to carbohydrate intake and, additionally, to fat and protein intake.” Source: ADA Standards of Care in Diabetes—2024 https://diabetesjournals.org/care/article/47/Supplement_1/S1...

“Insulin dosing based on carbohydrate plus fat/protein counting reduces the postprandial glucose levels” Source: Pediatric Diabetes Volume 13, Issue 7 p. 540-544 https://pubmed.ncbi.nlm.nih.gov/22765260/

“research and the use of continuous glucose monitoring have shown that other nutritional properties of food, including fat, protein, and glycemic index significantly affect postprandial glucose excursions” https://diabetesjournals.org/care/article/38/6/1008/37384/Im...

Don't get your intel from social media gurus.

It can help with type 2 diabetes. Look up Dr. Sarah Hallberg.