Understanding the "Recipe"
An algorithm is simply a recipe a set of rules. In a standard pump, you set the rules (e.g., "delivered 2 units for this meal"). In a smart pump, the computer attempts to determine the rules itself based on your glucose levels.
The "Black Box" Problem
Major manufacturers often keep these algorithms hidden. While you see the outcome the insulin being delivered you often don't understand why the decision was made.
- Hidden Logic: You lack insight into the actual decision-making process.
- Trial & Risk: You cannot safely experiment with how the system reacts to stress or exercise.
IINTS-AF: The Research SDK
IINTS-AF has evolved from a standalone experiment into a comprehensive Software Development Kit (SDK). It provides an independent research framework that allows developers and academics to build, test, and validate AI algorithms within a safe, deterministic environment.
Global Data Access & Integration
Before an algorithm ever controls a real pump, it must be validated against diverse, real-world physiological data. The IINTS-AF SDK features a built-in Data Registry, allowing researchers to instantly fetch and benchmark against world-class datasets, including the Jaeb Center AIDE T1D, Tidepool Big Data Donation, and the OpenAPS Data Commons. We provide the bridge between raw clinical data and actionable AI safety.
Built for Developers & Researchers
Getting started with medical AI research shouldn't take weeks. With IINTS-AF, it takes seconds.
One-Command Install
Instantly set up the complete environment including safety engines and simulators.
Instant Data
Built-in connectors for the world's leading T1D datasets.
Deterministic Testing
Run thousands of simulations to find edge-case bugs before they reach a patient.
"IINTS-AF represents a shift toward explainable autonomous care, where human safety logic serves as the final authority over artificial intelligence."