Depression: when AI paves the way for personalized medicine

<div>In China, researchers have developed an artificial intelligence system capable of detecting signs of depression from a person's voice. Given the extent of this mental disorder, this discovery could become an effective tool for assessing a patient's mental health.</div><h4><br>Detection rate: 87% reliable</h4><div><br></div><div>Researchers from Jinhua Advanced Research Institute and Harbin University of Technology (China) have developed a deep learning algorithm that can detect depression from a person's voice. The tool was trained to recognize emotions in human speech by analyzing the different vocal characteristics commonly found in the speech of patients diagnosed with depression.</div><div><br></div><div>Try our AI therapy tool for free <a href="https://bunchofbrains.com/ai" title="click here " target="_blank">click here&nbsp;</a></div><div><br></div><div>The results, published in the journal Mobile Network and Applications, are quite promising. The detection rate is 87% in male patients and 87.5% in female patients. To achieve these results, the participants were questioned by a virtual agent about their mood and their personal life. From this information, the algorithm machine identified verbal and non-verbal indicators of depression.</div><div><br></div><h5>The voice and the face say a lot about our mental state</h5><div><br></div><div>"First, the voice information is pre-processed, including voice signal pre-emphasis, framing windowing, endpoint detection, noise reduction...", says the study.</div><div><br></div><div>Several technologies such as 3D and auditory recognition were used to design this tool.</div><div><br></div><div>The research team used DAIC-WOZ, which is a collection of audio recordings and 3D facial expressions from patients diagnosed with depressive disorders and people without depression.</div><div><br></div><div>A toolkit called OpenSmile was also used to extract features from speech signals. Commonly used by computer scientists, it has made it possible to extract and classify characteristics of audio clips.</div><div><br></div><div><span style="color: rgb(33, 37, 41);">Try our AI therapy tool for free&nbsp;</span><a href="https://bunchofbrains.com/ai" title="click here " target="_blank" style="background-color: rgb(255, 255, 255);">click here&nbsp;</a><br></div><div><br></div><h5>Other psychiatric disorders could benefit</h5><div><br></div><div>Ultimately, one can imagine that this algorithm could serve as a tool and additional aid in the diagnosis of depression. It could also inspire other researchers to develop artificial intelligence to detect other psychiatric disorders.</div><div><br></div><div>Previous studies had already demonstrated the ability of artificial intelligence to detect depressive disorders. In 2021, a team of researchers from the Stevens Institute in the United States managed to detect depression from texts published on social networks thanks to AI. According to the WHO, 5% of adults worldwide suffer from depression. In the long term, depression can become a serious illness leading to suicide.</div><div><br></div><div><span style="color: rgb(33, 37, 41);">Try our AI therapy tool for free&nbsp;</span><a href="https://bunchofbrains.com/ai" title="click here " target="_blank" style="background-color: rgb(255, 255, 255);">click here&nbsp;</a><br></div> <div>In China, researchers have developed an artificial intelligence system capable of detecting signs of depression from a person's voice. Given the extent of this mental disorder, this discovery could become an effective tool for assessing a patient's mental health.</div><h4><br>Detection rate: 87% reliable</h4><div><br></div><div>Researchers from Jinhua Advanced Research Institute and Harbin University of Technology (China) have developed a deep learning algorithm that can detect depression from a person's voice. The tool was trained to recognize emotions in human speech by analyzing the different vocal characteristics commonly found in the speech of patients diagnosed with depression.</div><div><br></div><div>Try our AI therapy tool for free <a href="https://bunchofbrains.com/ai" title="click here " target="_blank">click here&nbsp;</a></div><div><br></div><div>The results, published in the journal Mobile Network and Applications, are quite promising. The detection rate is 87% in male patients and 87.5% in female patients. To achieve these results, the participants were questioned by a virtual agent about their mood and their personal life. From this information, the algorithm machine identified verbal and non-verbal indicators of depression.</div><div><br></div><h5>The voice and the face say a lot about our mental state</h5><div><br></div><div>"First, the voice information is pre-processed, including voice signal pre-emphasis, framing windowing, endpoint detection, noise reduction...", says the study.</div><div><br></div><div>Several technologies such as 3D and auditory recognition were used to design this tool.</div><div><br></div><div>The research team used DAIC-WOZ, which is a collection of audio recordings and 3D facial expressions from patients diagnosed with depressive disorders and people without depression.</div><div><br></div><div>A toolkit called OpenSmile was also used to extract features from speech signals. Commonly used by computer scientists, it has made it possible to extract and classify characteristics of audio clips.</div><div><br></div><div><span style="color: rgb(33, 37, 41);">Try our AI therapy tool for free&nbsp;</span><a href="https://bunchofbrains.com/ai" title="click here " target="_blank" style="background-color: rgb(255, 255, 255);">click here&nbsp;</a><br></div><div><br></div><h5>Other psychiatric disorders could benefit</h5><div><br></div><div>Ultimately, one can imagine that this algorithm could serve as a tool and additional aid in the diagnosis of depression. It could also inspire other researchers to develop artificial intelligence to detect other psychiatric disorders.</div><div><br></div><div>Previous studies had already demonstrated the ability of artificial intelligence to detect depressive disorders. In 2021, a team of researchers from the Stevens Institute in the United States managed to detect depression from texts published on social networks thanks to AI. According to the WHO, 5% of adults worldwide suffer from depression. In the long term, depression can become a serious illness leading to suicide.</div><div><br></div><div><span style="color: rgb(33, 37, 41);">Try our AI therapy tool for free&nbsp;</span><a href="https://bunchofbrains.com/ai" title="click here " target="_blank" style="background-color: rgb(255, 255, 255);">click here&nbsp;</a><br></div>