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OCould you reveal your soul to a robot or bond with a chatbot? How about trusting a machine learning diagnostic? Artificial intelligence and mental health: fantastic things are happening. Here is the latest…
…a Vanderbilt University Medical Center study found that machine learning predicted whether a person was going to kill themselves with 80% accuracy.
The age of artificial intelligence is upon us. And if it’s managed responsibly, it can be wonderful.
There are an abundance of artificial intelligence applications running, and emotional and mental health is on the list.
Here is the latest…
Background
“AI In Mental Health: Opportunities And Challenges In Developing Intelligent Digital Therapies,” written by Bernard Marr, appeared on Forbes recently.
Mr. Marr is a world-renowned futurist and influencer in business and technology, as well as a best-selling author.
We will rely on his hard work and knowledge to get us where we need to go.
Let’s ride…
Definitions
Before we get to the goods, we need to manage a few key definitions…
Artificial intelligence
A field of science concerned with building computers and machines capable of reasoning, learning, and acting in ways that would normally require the intelligence of humans or that involve data whose scale exceeds what humans can analyze.
Algorithm
A well-defined sequential computational technique that accepts a value or set of values as input and produces the output(s) needed to solve a problem.
machine learning
A branch of artificial intelligence and computer science that focuses on using data and algorithms to mimic the way humans learn, gradually improving its accuracy.
chatbot
A computer program that simulates human conversation to solve problems and answer questions. Modern chatbots use technologies such as artificial intelligence and machine learning.
Artificial Intelligence and Mental Health: Applications
I guess you have been exposed to the artificial intelligence (AI) hype. Have you ever wondered if AI could somehow come to your emotional and mental rescue? Perhaps you have had visions of healing similar to our featured image.
With the help of Mr. Marr, let’s see if we can get you some answers…
artificial intelligence therapists
Chatbots are on the rise and they offer counseling, symptom coping assistance, and a channel of communication during treatment.
And catch that, they can type in keywords during a conversation that can trigger a referral and direct contact with a human emotional and mental health (EMH) professional.
Marr Offers Woebot as an example of a therapy chatbot. It gets to know the personality of the user and adapts to it. And it can even tell the user about several frequently used therapies and exercises to manage a variety of conditions.
Marr goes on to mention the chatbot, Tess. It offers free 24/7 emotional support and can be used to help manage anxiety and panic attacks in the moment.
Wearables
Wearable devices are upping the ante when it comes to AI processing. They do not expect action from users. Since they are worn and their sensors constantly interpret body signals, they immediately signal if something needs to be examined.
mar uses Biobeat For example. Sleep patterns, physical activity, changes in heart rate and rhythm – these are all tracked and used to gauge the user’s mood and cognitive state.
The data is compared with aggregated and anonymized data from other users to provide warnings when intervention may be needed.
Diagnose and predict outcomes
AI, especially machine learning, can be used to analyze a user’s medical and behavioral data, voice recordings collected from phone calls to response services, and more to flag signs harbingers of problems before they progress to an acute stage.
For example, Marr mentions a review of studies conducted by IBM and the University of California. The review found that where AI was used to analyze various data sources, machine learning could predict and classify mental health issues – including suicidal thoughts, depression and schizophrenia – with “great accuracy”.
“Come on, Bill, this all sounds too good to be true. What’s the catch?”
Taking things to the extreme, a study from Vanderbilt University Medical Center found that machine learning predicted whether a person was going to kill themselves with 80% accuracy.
And research is currently being conducted at the Alan Turing Institute that is looking at ways to use large-scale datasets from individuals who have not shown symptoms of EMH problems to predict who is likely to have them. develop over their lifetime.
And if that’s not enough, AI has been used to predict when patients are more likely to respond to cognitive behavioral therapy (CBT), therefore being less likely to need medication.
Improving Patient Outcomes
If you’ve struggled with an EMH disorder, no one has to tell you that sticking to a treatment regimen can be difficult.
AI can be used to predict when the user is likely to fall out of compliance and issue reminders or alert their healthcare providers to enable manual interventions.
Personalized treatments
Research is ongoing into using AI to create personalized treatments for a number of mental health conditions. It has been used to monitor symptoms and responses to treatment to provide information that can be used to adjust individual treatment plans.
And what about that? A study from the University of California, Davis focused on creating personalized treatment plans for children with schizophrenia based on computer vision analysis of brain images.
Artificial intelligence and mental health: the challenges
Let’s wrap things up by talking about the work that needs to be done.
Alright, you might be thinking, “Come on, Bill, this all sounds too good to be true. What’s the catch?” Well, not really “captures”, but there are challenges that are met.
Marr talks about AI bias. It refers to inaccuracies or imbalances in data sets used to train algorithms that could perpetuate unreliable predictions or social biases.
For example, when it is known that EMH problems are more likely to go undiagnosed among ethnic groups with more limited access to health care, algorithms that rely on this data may also be less accurate for diagnose these problems.
And then there’s the fact that diagnosing EMH problems often requires more subjective judgment by clinicians than diagnosing physical conditions.
Are you on board?
Little note before saying goodbye. Lots of work in progress regarding AI and psychotropic drugs – recommendations, prescription and development.
Well, it will. Man, I was sweating writing this one – so much information, so much learning. And a big thank you to Bernard Marr, by the way.
How do you feel about that?
The era of artificial intelligence has begun. And emotional and mental health is part of it. The big question is, are you on board?
by Bernard Marr Forbes article: “AI in Mental Health: Opportunities and Challenges in Developing Smart Digital Therapies” And take a moment to see what is happening on his website.
If you’re looking for more Chipur Mood and Anxiety information and inspirational articles, I know where they are. Hit the titles.
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