AI and Diabetes: 5 Ways AI Is Transforming Diabetes Management & Prevention

 

An estimated 415 million people globally have diabetes yet 46% remain undiagnosed and untreated. From prevention methods to personalised treatment, there are many ways in which AI can support people with diabetes.

In this blog post, we’ll share 5 ways AI is helping people to discover and manage diabetes.

 

How can AI help in diabetes prevention and management?

 

  • AI understands patterns in behaviour, then builds its own logic. AI can be a personal coach to people with diabetes by recognizing which patterns in behaviour lead to high or low blood sugar levels. If you have an accurate data feed for activity and food consumption, AI can predict changes and recommend actions to help people respond early.
  • AI is helping to diagnose diabetes and diabetes-related illnesses earlier. Using AI to process data from everyday technologies like Samsung Health or normal optometrical equipment can help to detect conditions far earlier than traditional techniques.
  • AI can provide personalised healthcare and lifestyle recommendations. With the ability to process vast amounts of data, AI can understand connections between behaviour, treatment and response to create personalised recommendations for people with diabetes at a scale and cost never before possible.

5 Ways AI Is Transforming Diabetes Management and Prevention

 

1. Early detection of diabetes

To provide timely treatment and help people with diabetes live longer and healthier lives, early diagnosis of diabetes is crucial. Early detection methods are based on both genetic and behaviour patterns in patients and the use of artificial intelligence in this area is growing every year.

Example

Doctors at a hospital in Shanghai have developed a system using artificial intelligence that can help them identify patients at risk of developing Type 2 diabetes 3, 5 or even 15 years from now. Their technology is based on patterns in patients including gender, height, weight, blood sugar levels, smoking and drinking history.

 

2. Early detection of diabetes-related conditions

Once a person is diagnosed with diabetes, one way to monitor their health is to make it easier to detect diabetes-related conditions as early as possible.

Example

AI is now helping people detect diabetic retinopathy with simple optometry equipment rather than expensive scanning technologies. This is a condition that can lead to permanent vision loss – early in life so combining a device that takes retinal pictures with artificial intelligence software can determine in real time whether a patient should be referred to an ophthalmologist for more investigations.

 

3. Smarter blood glucose levels predictions and personalised insulin therapy for smarter diabetes management

Blood sugar levels depend on many factors and personalised insulin therapy can make the lives of diabetes patients easier.

Example

Bigfoot Biomedical, for example, is working on developing an automated insulin delivery system with an artificial pancreas. The system monitors and learn from the user’s response to food, exercise, and other factors and adjusts the insulin dose accordingly.

 

4. Diabetes prevention and management with food & nutrition-centric approaches

Type 2 diabetes is closely related to obesity and people could reduce the risk of developing it by making healthier lifestyle choices.

Example: Ascensia Diabetes Care

Ascensia Diabetes Care has developed contourfood.com to help people with Type 2 diabetes find personalised and tailored meal recommendations that are based on their own food preferences. By helping people with diabetes find healthy recipes tailored to their personalised food choices, Ascensia is helping people make smarter food choices.

 

5. Efficient patient data collection improves personalisation

Artificial intelligence is also making it easy for patients to provide and access data, thus improving communication between patients and doctors and facilitating more personalised care.

Example

xbird: Actionable insights for both doctors and patients

Xbird’s solution helps doctors provide better treatment by monitoring personal environmental and behavioural biomarkers data and applying Artificial Intelligence and Machine Learning to millions of data points.

Conclusion

Although AI alone cannot treat diabetes, it can offer effective, economical solutions in the battle to prevent and manage the condition. From personalisation and guided coaching to medical devices that are making it easy for people with diabetes to manage their condition, AI is becoming widely used among large health companies and startups.

 
Find out how health companies are harnessing Whisk’s technology to create personalised, shoppable food recommendations tailored for individuals and common conditions. Get in touch.
 

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