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Language: EN.
Segment:1 Artificial intelligence technology for diagnosing dementia with Sina Habibi.
[MUSIC PLAYING]
Segment:2 Please introduce yourself and give a short overview of Cognetivity.
SINA HABIBI: My name is Sina Habibi. And I'm the cofounder and CEO of Cognetivity Neurosciences, a company we started in 2013. We have invented and patented a technology for detecting mental health disorders, in particular dementia and Alzheimer's.
Segment:3 Could you explain a little about your new cognitive platform?.
SINA HABIBI: We often say since 1907, when Dr. Alzheimer discovered the disease and characterized it, our assessment methods have not changed. He asked memory questions then, we are asking memory questions today.
SINA HABIBI: What we've done is completely revolutionary, completely different to whatever has been done before. We're looking at image cognition, how we perceive images. When you look around yourself, your eyes work like a camera, constantly capture images. And your brain analyzes that. Your ability to analyze that information is called image cognition. And that's the ability of the brain we have focused on.
Segment:4 Where do you hope to see this technology go next?.
SINA HABIBI: We see this to be used anywhere that you need to assess someone's cognitive performance. The analogy that we use is that it work like a blood pressure tool for your brain. You can do at any given time. And it can detect problems and when people are at risk and direct them to take further measurement and further assessment in order to establish what is the underlying reason causing the problem.
Segment:5 How do you hope to see this test used in primary care?.
SINA HABIBI: The first product is going to be a primary care screening tool. Anyone above a certain age, when they go see their GP, our artificial intelligence engines looks at the demographic information, look at your electronic health records, and realizes that you might be at risk. The test is administrative for you, takes you five minutes to do it. It doesn't require an expert. It is independent of culture, language, and education. These are all biases that you have in other tests, because of the inherent bias of memory being the key part of measurement. So the administrator tests for five minutes. Then they compare your test result with everyone else who've taken the test before. And as soon as there is a problem, we can make a referral in the form of a triage tool that you go seek further assessment in order to complete a diagnosis. We're hoping that we have this out in GP clinics by beginning of 2020.
Segment:6 Why do you think it is important to utilize modern technology for dementia diagnosis?.
SINA HABIBI: At the moment, diagnosis of dementia is really difficult. And for example to give you some figures, one in two people never receive diagnosis. And those who receive it receive it so late. This is talking about the most advanced health care systems in the world, in the UK, in the US, and the Western world. These numbers are horrendously worse in underdeveloped countries. You have nine in 10 people not receiving diagnosis before death. So the diagnosis is difficult. There is no screening tool. Tools are subjective. And these are all problems that you have in the existing system, in the existing patient pathway, which has resulted in these low numbers and underdiagnosed disease. So what we want to do, we want to have an active screening at primary care. But as soon as there is a problem, we can detect it. And that's going to help the patient pathway, the treatment process for the patients if diagnosed earlier.
Segment:7 Demonstration of the AI-based visual test in action.
SINA HABIBI: [MUSIC PLAYING]
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