A new study published on Sunday suggests that an AI-powered wearable device could help detect early signs of diabetes with high accuracy. Researchers say the tool identified indicators of the condition in testing with 92% accuracy, raising hopes for earlier diagnosis and faster treatment.

The findings add to growing interest in health technology that can monitor patients continuously outside a clinic. Wearables paired with machine learning may give doctors another way to spot disease before symptoms become more serious, especially for people who face barriers to routine screening.

Researchers said the device still needs further validation before it can be widely used in medical care. Larger trials will be needed to confirm how well it performs across different populations and real-world conditions.

If future studies support the results, the technology could become part of a broader shift toward earlier, more accessible diabetes detection and management.