Artificial Intelligence (AI) has reached a level where it can analyze human speech patterns and detect deformities, including diseases such as Type-2 diabetes, with remarkable accuracy. However, it also raises some warning signals.
Furthermore, AI has the capability to detect various other abnormalities and diseases, including Alzheimer’s and some mental health issues like depression, trauma, stress, and heart disease by examining voice patterns. It significantly assists medical professionals in identifying vascular structures and prescribing appropriate medication to reduce the spread of diseases.
A study published in the Digital Health medical journal in the Mayo Clinic Proceedings has revealed the astonishing ability of a small voice note to accurately determine Type-2 diabetes.
This latest technology is poised to play a significant role in diagnosing diabetes among patients worldwide. The International Diabetes Federation suggests that around 90% of Type 2 diabetes cases worldwide remain unconfirmed, affecting approximately 240 million adults globally. This poses health threats to those suffering from the disease, increasing the risk of cardiovascular disease, stroke, and reduced mobility in extremities.
Traditional diabetes tests are often time-consuming and require a visit to the doctor, involving blood glucose tests (FBG), oral glucose tolerance tests (OGTT), or glycated hemoglobin tests (A1C).
In contrast, voice analysis takes less time and mainly focuses on changes in the human voice that are imperceptible to the human ear. A human voice can exhibit up to 200,000 distinct characteristics, which AI examines using algorithms. It assesses pauses, melody, and pitch in sound.
By recognizing these differences, AI can easily determine an individual’s gender, age, and potential diseases. While the tests were mostly accurate, there were some variations based on gender. Among females, the tests were 89% accurate, while among males, 86% of tests were accurate.
