Artificial intelligence continues to advance in the medical field and, in an exciting development, researchers at Stanford University have demonstrated the technology’s ability to diagnose type 2 diabetes through voice analysis.
Can artificial intelligence detect diabetes?
This promising development could change the way we diagnose and treat this chronic disease that affects millions around the world. According to scientists, artificial intelligence can analyze the voice patterns of patients to identify the characteristic signs of type 2 diabetes.
Scientists have observed remarkable differences in the pitch, intensity and duration of the voice of patients with diabetes compared to healthy people. These differences provide keys to the early diagnosis of the disease.
A phone recording of about 10 seconds is enough to make an accurate analysis.
The researchers explained that speech synthesis is a complex process that is influenced by the respiratory, nervous and larynx systems. Any change in these systems can manifest itself in changes in voice.
How is this AI technology to diagnose diabetes?
The study involved 267 people who recorded short phrases on their phones six times a day for two weeks. The sound recordings revealed significant acoustic differences between those who tested positive and negative.
This diagnostic program uses short voice recordings, which are especially useful for those who do not have easy access to medical treatments.
Moreover, it is not limited to this disease only; Researchers are also working on optimizing the detection of other conditions using artificial intelligence. This technological advance will make a difference in the lives of countless people in the coming years by offering faster and more effective diagnosis.
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