AI helps enable a Voice Test to determine if you have T2DM
- Ben Dubin
- Sep 14, 2024
- 1 min read
The AI algorithm analyzed various vocal features, such as changes in pitch, intensity, and tone, from a total of 607 recordings to identify differences between individuals with and without diabetes.
The reasoning behind this is "due to Hooke's law, in which changes in the tension, mass, or length of the vocal folds," mediated by different glucose levels, "may result in an alteration in their vibrational frequency," he explained. "Whether or not voice assessment can help in detecting people with diabetes is unknown, and we need much more robust evidence," he said. "Many parameters such as age, smoking, gender, body phenotype, and emotional and psychological factors can confound and affect the voice."
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