University of Alberta PhD student develops AI to identify depression

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Mashrura Tasnim’s goal is to create a smartphone application that would monitor users’ conversations and alert their emergency contacts or mental-health professionals when it detects depression

found they can use a machine-learning program to distinguish the voices of individuals with post-traumatic stress disorder.Facebook,But while researchers believe these technologies hold great promise and could eventually help save lives, some also warn of serious potential pitfalls.

“We’re definitely going to have some costs to it and some harms to some people. That comes with any kind of [screening] like this,” he said. “The question here becomes, well, are there benefits?” A potential reason screening has not been shown to lead to improvements in mental health is patients who have recognizable psychiatric symptoms are generally already easily identified without the use of screening. This means screening tests likely tend to detect those who have very mild to moderate symptoms, which are often tricky to treat and in many cases get better on their own, Prof. Thombs suggested.

 

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No thank you.

Worth a few million dollars in federal funding to blow.

Let’s hope the confidence interval is very high

Lovelt, lol

There is good reason to believe great harm could come from this.

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