Two hospitals in London are trying out a new artificial intelligence (AI) technology to find out if patients are at risk of developing type 2 diabetes up to ten years before it actually happens. The Imperial College and Chelsea and Westminster Hospital NHS Foundation Trusts are working on an AI system called Aire-DM. This system looks at patients' heart tests, known as electrocardiograms (ECGs), to spot early signs of diabetes that doctors might miss. They plan to start clinical trials in 2025 to see how well this new method works. So far, the AI has shown it can identify risk about 70% of the time, and adding more patient details like age, gender, and health issues such as high blood pressure or obesity can make its predictions even better.

Dr. Fu Siong Ng, the main researcher, explains that the ECG data is a good starting point for assessing risk, but adding other background information makes the AI even more accurate. An ECG is a test that measures the heart's electrical activity, showing how well it beats. Dr. Ng points out that the changes in the ECG that the AI picks up are often too small and complex for even the best doctors to notice. The AI looks at a mix of subtle signs instead of focusing on just one part of the ECG.

As part of the study, around 1,000 patients from both hospitals will have their ECGs checked by the AI to see how well it can predict diabetes risk. Although this technology isn't ready for everyday use yet, the researchers are hopeful that it could be used more widely in the NHS in the next five years. The British Heart Foundation, which is funding this research, believes that finding diabetes risk early could help prevent serious health problems like heart attacks and strokes.

Professor Bryan Williams from the British Heart Foundation highlights how important this research is. He says that using advanced AI to analyze ECGs can reveal important information that regular health data might miss. This could change how doctors predict the risk of type 2 diabetes, potentially years before it develops. Type 2 diabetes is becoming a bigger health problem that increases the chances of heart disease, but with the right steps, people can lower their risk. Dr. Faye Riley from Diabetes UK adds that finding type 2 diabetes early is crucial since many people don’t even know they have it. In England, about 1.2 million people are unaware they have diabetes, with even more at high risk. AI screening could help identify these individuals early, allowing them to get the support they need to avoid serious complications like heart failure and vision loss.

Original news source: Hospitals trial AI to spot type 2 diabetes risk (BBC)

– CHARADES
Instructions: Students take turns acting out terms related to the article, such as "artificial intelligence," "diabetes," "ECG," and "clinical trials" without speaking. The rest of the class has to guess the term.
– MIND MAP
Instructions: On a whiteboard or large paper, students create a mind map based on the article. They start with "AI in Healthcare" in the center and branch out with key points like "diabetes risk," "ECG," "clinical trials," and "NHS." Each student can add their own ideas to expand the map.
– OPINION POLL
Instructions: Pose a question related to the article, such as "Do you think AI will significantly improve healthcare?" Students walk around the room and ask their classmates for their opinions, recording the responses. Afterward, they share the results with the class.
– HEADLINE CREATION
Instructions: Students work in pairs to create catchy headlines for the article. They can discuss the most important points and then brainstorm creative titles that capture the essence of the story. Each pair presents their headline to the class.
– FUTURE PREDICTIONS
Instructions: Students discuss and write down their predictions about the future of AI in healthcare, particularly in relation to diabetes and other diseases. They can then share their predictions in small groups and discuss the implications of these advancements.

Two hospitals in London are trying out a new artificial intelligence (AI) technology to find out if patients are at risk of developing type 2 ? up to ten years before it actually happens. The Imperial College and Chelsea and Westminster ? NHS Foundation Trusts are working on an AI system called Aire-DM. This system looks at patients' heart tests, known as electrocardiograms (ECGs), to spot early signs of diabetes that ? might miss. They plan to start clinical trials in 2025 to see how well this new ? works. So far, the AI has shown it can identify risk about 70% of the time, and adding more patient details like age, gender, and health issues such as high blood pressure or obesity can make its predictions even better. Dr. Fu Siong Ng, the main researcher, explains that the ECG data is a good starting ? for assessing risk, but adding other background information ? the AI even more accurate. An ECG is a test that measures the heart's electrical ?, showing how well it beats. Dr. Ng points out that the changes in the ECG that the AI picks up are often too small and complex for even the best doctors to notice. The AI looks at a mix of ? signs instead of focusing on just one part of the ECG. As part of the study, around 1,000 patients from both hospitals will have their ECGs checked by the AI to see how well it can predict diabetes risk. Although this ? isn't ready for everyday use yet, the ?ers are ? that it could be used more widely in the NHS in the next five years. The British Heart Foundation, which is funding this research, believes that finding diabetes risk early could help prevent serious health problems like heart attacks and strokes. Professor Bryan Williams from the British Heart Foundation highlights how important this research is. He says that using advanced AI to analyze ECGs can reveal important information that regular health data might miss. This could ? how doctors predict the risk of type 2 diabetes, potentially years before it develops. Type 2 diabetes is becoming a bigger health problem that increases the chances of ? disease, but with the right ?, people can lower their risk. Dr. Faye Riley from Diabetes UK adds that finding type 2 diabetes early is crucial since many people don’t even know they have it. In England, about 1.2 million people are unaware they have diabetes, with even more at high risk. AI screening could help identify these individuals early, allowing them to get the support they need to avoid serious ? like heart failure and vision loss.

1. What is your opinion on using artificial intelligence in healthcare?
2. How would you feel if a machine could predict your health risks?
3. Do you think it’s important to find health problems early? Why or why not?
4. Have you or someone you know ever been diagnosed with diabetes? What was that experience like?
5. What do you think are the benefits of using AI to analyze health data?
6. How do you feel about the idea of doctors relying on AI for diagnosis?
7. Do you think people are generally aware of the risks of type 2 diabetes? Why or why not?
8. What is a healthy lifestyle to you, and how do you think it can help prevent diseases like diabetes?
9. How would you react if you found out you were at risk for a disease like diabetes?
10. Do you think everyone should have regular health check-ups? Why or why not?
11. What is your opinion on the accuracy of AI compared to human doctors?
12. How do you think technology will change healthcare in the next ten years?
13. Do you think it’s fair for AI to make decisions about people's health? Why or why not?
14. What other health issues do you think could benefit from AI technology?
15. How would you feel if your personal health data was used to train an AI system?

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