NEWS: AI Can Diagnose Depression by Analyzing Human Speech

Researchers from the Computer Science and Artificial Intelligence Laboratory of the Massachusetts Institute of Technology (MIT) have created an artificial intelligence that can diagnose depression by analyzing human speech.

Tuka Alhanai ( PhD candidate in the department of Electrical Engineering and Computer Science working in the Spoken Language Systems group) says that this neural network can determine the emotional state of a patient by analyzing both written text and spoken phrases.

The neural network was fed both records of speech of people with depressive disorders and people without them. Thanks to this AI accumulated experience and learned to identify patterns in the manner of conversation and writing.

Experiments have shown that the system was able to recognize depression in 77% of cases. This result is better than most traditional methods can demonstrate. The authors of the project explain this by the fact that psychiatrists in a traditional interview have to communicate with too many different people, and it becomes difficult for them to track the smallest changes in the patient’s speech.

The essence of the usual technique is based mainly on the patient’s responses to health, well-being and feelings, and not on the analysis of speech. A new tool from MIT scientists will greatly help doctors in their work and accurate diagnosis. The final conclusion will be made, of course, by a specialist, but he will be able to rely on the data provided by artificial intelligence.

The developers from MIT also expect their system to be used to work with patients who have other disorders, such as dementia.

Learn more about this AI here: http://groups.csail.mit.edu/sls/publications/2018/Alhanai_Interspeech-2018.pdf

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