Artificial intelligence or Machine learning commonly known as AI or ML is fast becoming the new norm across various facets of our lives, healthcare not excluded. AI/ML application has a great possibility to increase the coverage of diabetes care and at the same time help to make this process more effective.
India has a staggering number of diabetes cases and these cases present a different set of issues to what we have in the developed world, while at the same time this might be our best chance to get as much data as is feasible. Learning and managing this data with the support of electronic medical records completed by all physicians possible put India on the positions of leaders in this way of research. AI/ML could give us solutions to our problems ‘/Application of AI/ML would give some solutions to our problems as well as can suggest some specific approaches to the same.
How is AI used in diabetes care?
Artificial intelligence plays a transformative role in diabetes care through three key functions:
- Identifying behavioral patterns and creating personalized strategies: AI systems analyze data from lifestyle habits and glucose levels, enabling them to recognize trends and make data-driven decisions for managing diabetes.
- Early detection of diabetes: AI-driven tools can identify early signs of diabetes with high accuracy, improving the chances of timely intervention.
- Providing tailored healthcare advice: AI offers personalized recommendations based on individual patient data, enhancing the overall treatment plan.
Artificial intelligence is transforming diabetes care by recognizing patterns in behaviors that affect blood sugar levels. Continuous glucose monitors (CGMs), which collect vast amounts of previously underutilized data, are now instrumental in improving patient outcomes.
For individuals with Type 1 diabetes, regularly checking blood sugar levels is crucial in determining insulin dosages. Historically, this involved finger-stick tests to draw blood, but CGMs have revolutionized this process. These small devices are implanted under the skin and can be scanned using a smartphone, eliminating the need for finger pricks. The CGM provides real-time updates, allowing patients and healthcare providers to track glucose trends and predict how meals may impact blood sugar levels. This technology, though still developing, holds great potential for improving diabetes management by making insulin dosing more precise and improving overall quality of life.
Timely Diagnosis
In addition to managing diabetes, AI is advancing early detection efforts. Wearable technology, like Fitbits and Samsung Health devices, can gather health data such as steps, sleep, and calories, potentially flagging early signs of Type 2 diabetes. These wearables might eventually send alerts if a user’s data suggests they are at risk of developing diabetes, encouraging preventive measures.
Fitbit, in particular, is spearheading health initiatives to help diabetics better manage their condition by syncing glucose readings from CGMs to their smartwatches. Similarly, AI is being used to identify diabetes-related complications like diabetic retinopathy, which can cause vision loss, ensuring that patients receive timely referrals to specialists.
Utilizing AI for Diabetes Management
Furthermore, AI is assisting Type 2 diabetes patients in maintaining a balanced lifestyle, which can be challenging. Contrary to the common belief that diabetes management solely focuses on sugar intake, a well-rounded diet is essential. AI-powered food apps like Ascensia Diabetes Care allow users to design personalized meal plans that suit their needs, helping them make informed dietary choices without feeling overly restricted.
Empowering Informed Decision-Making Through AI
By providing real-time data and personalized guidance, AI empowers diabetes patients to take greater control of their condition. With further advancements and data collection, AI could not only improve diabetes management but also lead to potential breakthroughs in its treatment or even a cure in the future.