Talk to your robo-doctor.
Latest medical research finds that artificial intelligence can detect type 2 diabetes merely by listening to a patient speak for six to ten seconds.
The study by Klick Labs, published in “Mayo Clinic Proceedings: Digital Health,” showed an 89% accuracy rate for diagnoses in women and 86% for men, according to a release detailing the breakthrough.
“Our research highlights significant vocal variations between individuals with and without Type 2 diabetes and will transform how the medical community screens for diabetes,” said first writer Jaycee Kaufman.
“Current methods of detection can require a whole lot of time, travel, and price. Voice technology has the potential to remove these barriers entirely,” Kaufman continued.
![New research can analyze vocal recordings for diseases like diabetes.](https://nypost.com/wp-content/uploads/sites/2/2023/10/iStock-1206070662-copy.jpg?w=1024)
Researcher had 267 individuals — who did or didn’t have type 2 diabetes — record phrases on their smartphones six times a day for 2 weeks. Greater than 18,000 recordings were analyzed for over 14 different acoustic features, which were different amongst diabetics and non-diabetics. Participants also provided basic health data like age, height, and weight.
Signal processing technologies were able to perceive certain notes of vocal pitch that don’t register with the human ear. These hidden sounds provided the essential clues, according to Kaufman.
“Our research underscores the tremendous potential of voice technology in identifying Type 2 diabetes and other health conditions,” Klick VP and principal investigator Yan Fossat said.
![Researchers found the AI diabetes detector to be close to 90% accurate after hearing patients' voices.](https://nypost.com/wp-content/uploads/sites/2/2023/10/iStock-1372115964-copy.jpg?w=1024)
“Voice technology could revolutionize healthcare practices as an accessible and inexpensive digital screening tool.”
The following step for Klick is replicating the study and expanding the vocal search to search for pre-diabetes, hypertension and more.
This news follows a recent MIT breakthrough of a bio-implant which is ready to mold itself more seamlessly to the body, aiding within the deployment of medicines similar to insulin.