A new reinforcement learning (RL) based artificial intelligence (AI) algorithm calculates the amount of insulin needed for a diabetic patient and injects it automatically.
To eliminate the inconvenience of calculating and injecting insulin daily, the research team added a pharmacological concept to reinforcement learning, widely known as the algorithm of AlphaGo. This method of AI algorithm achieved a mean glucose of 124.72 mg/dL and percentage time in the normal range of 89.56 percent. Even without inputting the meal intake, the policy showed performance comparable to that of conventional artificial pancreas.
The newly developed AI algorithm enables fully automated blood sugar control without the hassle of inputting meal or exercise information. The team expects this algorithm to be extended to other drug-based treatments.
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