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Using AI in diabetes management has a promising future, and it can open up a gamut of opportunities for both healthcare providers and patients.
FREMONT, CA: Artificial intelligence (AI) is transforming all spheres of life, including the healthcare system. The applications of AI has the potential to drastically enhance the reach of diabetes care, thereby making it more efficient. Rapid advances in AI offer the promise of making both real-time structured and unstructured health data available for the care of diabetes. Here is how. 
Health organizations are leveraging big data to help people manage their patients’ diabetic conditions more efficiently and improve patient outcomes. People are using their products such as blood glucose meters, blood pressure cuffs, and scales. The added advantage is that these devices are that they can collect data and send it to a larger database which is then used for generating insights to benefit their members. Also, this pattern has encouraged companies to come up with a reinforcement learning platform where they observe the data and generate several personalized messages to send to their members. Health providers learn about patients’ behavior with the responses received and eventually know what works best for them.
There are several diabetes management companies out there working on a mission to develop an automated insulin delivery system. This system looks promising and can make the lives of diabetic patients easy. With this, the future of diabetes care will change by making it use of the potential of AI to create a closed-loop system that would learn from the user’s response to food, exercise, insulin, and then adjust the dose. Soon, an AI-powered automated insulin supply system will become the life-changing diabetes care solution.
With the facility of digital clinics, healthcare professionals can remotely monitor the patient’s insulin and blood glucose and adjust the dose accordingly when necessary. The data is migrated from smart glucose monitors and insulin pens to a mobile app, which allows in monitoring and making decisions that help the platform to function. AI and machine learning are used to create meaningful insights and actionable treatment plans. Healthcare will be simplified with the use of AI in digital clinic services.
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