A new AI is supposed to detect type 2 diabetes with an accuracy of up to 71 percent – using only the voice. The method could fundamentally change the diagnosis.
Medicine is making great progress as part of digitalization. Researcher developed recently For example, a new method to detect type 2 diabetes by voice alone. An algorithm uses artificial intelligence to analyze a person’s voice to obtain information about the disease. ,
According to research results, the accuracy is up to 71 percent for men and up to 66 percent for women. What’s special about it is that the method is non-invasive and could make diabetes screenings easier and more accessible. To do this, the AI analyzes various characteristics of the voice such as pitch and intensity. At the same time, the algorithm receives general health data such as age, gender and body mass index (BMI).
AI detects type 2 diabetes – through changes in the voice
The idea is that health problems such as diabetes can cause changes in the voice. For the study, the researchers asked 607 people to speak and record a short text on their smartphone or laptop.
The AI system then evaluated the data to distinguish between people with and without diabetes. The advantage of this technology is that it is quick and easy to use, unlike traditional methods, which often cost time and money. Because current diabetes tests often include blood tests.
The diagnosis is more reliable, especially in older people
Voice analysis could therefore close a major gap and help detect diabetes earlier worldwide. People over 60 and people with high blood pressure are particularly expected to benefit from the method, as the AI is particularly precise for them.
The research is still in its early stages and further studies are needed to improve the method. Nevertheless, voice analysis could play an important role in the early detection of type 2 diabetes in the future and help millions of people to better monitor their health.
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As a tech industry expert, I am excited about the potential of using AI to detect type 2 diabetes through voice analysis. This innovation has the potential to revolutionize healthcare by providing a non-invasive and convenient way to screen for this chronic condition. By leveraging advanced machine learning algorithms, AI can analyze subtle vocal cues and patterns that may indicate the presence of diabetes.
This technology has the potential to improve early detection and intervention for individuals at risk of developing type 2 diabetes, ultimately leading to better health outcomes and reduced healthcare costs. However, it is important to ensure the accuracy and reliability of these AI algorithms through rigorous testing and validation before widespread adoption.
Overall, I believe that AI-powered voice analysis for diabetes detection is a promising development that showcases the transformative power of technology in healthcare. It is important for researchers, healthcare providers, and industry stakeholders to collaborate and continue advancing these innovative solutions for the benefit of patients worldwide.
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