Role of AI in Mental HealthCare: See its Positive Impact

1. Get started Open in app Role of AI in Mental HealthCare: See its Positive Impact Follow Ajay Kapoor Jan 18 · 5 min read WHO reports that nearly 800 000 people die due to suicide every year which means one person commits suicide every 40 seconds. Social isolation, poverty, debt, long- term stress, unemployment are some of the common causes of mental illness.

2. And, among these, depression is one of the most common mental health problems throughout countries worldwide. Mental health does not only include depression, it can be an anxiety disorder, mood disorders, psychotic disorder, or suicide as well. But, with the advancement of technology, we can harness the use of Artificial Intelligence, Machine learning, and Deep Learning Algorithms in mental health care as it will help clinicians and patients manage their conditions better in the future. Mental illness not only adds to the medical expenses but also severely impacts the economy of the nation and results in loss of productivity. It’s time that we need to explore the applications of AI in mental healthcare so that clinicians can detect and diagnose mental health issues at an earlier stage. At WWBP, researchers analyzed social media with AI algorithms to track the linguistic cues from the phrases on their posts. This helps them in predicting depression. For example, the algorithm can detect the loneliness factor from the posts of the patients that usually include words like “I” and “me”. These are termed as depression-associated language markers that could track and predict the depression and mental illness three months prior to the formal diagnosis. With this article, you will get to know how AI's impact on mental health can help you save the lives of thousands of persons. And, for this, we truly need to welcome the combination of innovation and technology that aims to bring down mental health trouble. What are the Benefits of Using AI to Solve Mental Health Illness? Researchers and experts report that if used correctly by the hired AI developers, AI has immense potential in mental-health care diagnosis. While the AI techniques are getting more refined and improved by the day, mental health practitioners can identify the mental illness at the prodromal stage. Identification at the earlier stage proves to be more effective and helps in delivering personalized treatments based on an individual’s unique characteristics.

3. 1.Support mental health professionals AI and mental health professionals when coupled together works wonders as helps them in doing their jobs with ease. With the help of algorithms, clinicians can analyze data much easier and faster than human clinicians, and suggest the best possible treatments, monitor a patients’ progress, and alert the AI doctors about the concerns. 2.Early detection, flagging risks, and prediction AI-enabled systems installed in clinics and healthcare institutions grabs the depressive behavior of patients and reduces the emergence of severe mental illness. Vanderbilt University, a medical university in Nashville implements machine learning algorithms using hospital admission data, including age, zip code, gender, medication, and diagnostic history. This helps in detecting the probability of detecting self-harm and suicide attempts. To a surprise, the algorithm has proved to be 84 percent accurate at predicting this. It also detects the rate of suicide attempts that may occur in the following 2 years. Facebook language detects depression through medical records although it is disabling and treatable. It analyses the content shared by the users on Facebook and predicts the future occurrence of mental health disorders. Facebook implemented AI technology that leverages algorithms, user reports, and human reviewers to trace and identify the expressions with suicidal thoughts. Here, social media acts as a depression diagnostic tool. 3. AI in Smartphones

4. Artificial Intelligence in smartphones seeks out “behavioral biomarkers” for mental illness. On the other hand, facial expressions, voice, and languages may offer clues and other signs. AI can recognize people’s facial expressions, and behaviors so that the doctors can provide an objective assessment of mental health. Smart algorithms excel in this case. Let’s see how it works. They classify and cluster data from the images, written or spoken texts, and try to find patterns from the huge datasets. 4. AI doctors interview the patients The AI doctors conduct virtual interviews with the real people and track the speech patterns such as slurry vowel sounds, body language, the way the patient is looking at things. The distinct speech pattern technique helps in analyzing the state of mental illness of the patient. The machine learns that if the people who are depressed do not open their mouth as wide as someone is not depressed. 5. AI-based chatbots serves patients 24*7 Mental illness is a common problem these days especially among teenagers, but still, many nations lack the number of human mental health professionals. With the help of AI-based chatbots, healthcare professionals can access patients all the time without an appointment. Patients have a high level of comfort level while talking to the bots. Bots can participate meaningfully in the management of mental disorders. Smartphone-based applications proactively check the patient's health care conditions and chat with them anytime.

5. Aside from all this, patients who are somehow introverted may feel shy in disclosing their health issues to the doctors, but with chatbots, they are happy to share and bots are also happy to serve at any time of the day. AI-based chat Wysa will make you free from anxiety during difficult times. This emotionally intelligent chatbot has helped over two and a half and million people to date. It combines the technique of dialectic behavioral theory, cognitive-behavioral theory, guided meditation, breathing, and yoga. It brings innovation and technology to one place and helps in managing emotions and thoughts as it brings down the prevalence of suicide risk, mental trouble, depression. What Next? Will the Patients' Embrace AI in Mental Health? While we see that AI promises to provide critical health resources to overcome mental health issues, there are yet so many obstacles to overcome. Patients suffering from mental illness are advised to use the app in conjunction with a mental healthcare professional.

6. With the emergence of AI in mental healthcare, we can spot a profound change in the diagnosis of the disease but still, we cannot say that the treatment of these diseases is over with AI. All we can say is that AI has great potential to re-define the diagnosis and understanding of the mental illness. If you also aim to bring good mental health at your fingertips, hire AI developers from the top healthcare app development company, and witness the change in global statistics of mental health disorders. AI Artificial Intelligence Mental Health Healthcare Machine Learning 125 WRITTEN BY Ajay Kapoor Follow Hey, I’m Ajay, a tech blogger working with PixelCrayons who loves to share his extensive tech-related knowledge with like-minded people. AI In Plain English Follow New AI, Machine Learning, and Data Science articles every day. More From Medium Gradient Boosting with Scikit-Learn, XGBoost, LightGBM, and CatBoost Johar M. Ashfaque in AI In Plain English My Deep Learning Journey Gurhar1133 in AI In Plain English End-to-End Deep Learning Approach for Autonomous Driving: Imitation Learning Chingis Oinar in AI In Plain English N-gram and its use in-text generation Namrata Kapoor in AI In Plain English

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