Anxiety, stress, overthinking, and trauma are commonly used words to describe people suffering from mental health disorders that appear from work overload, depression, negative feedback, and much more. It's very likely to see people suffering from anxiety faster than coming in contact with positive and uplifting people. Here is how to treat your stress with AI technology. The fact is, the world isn't becoming a safer or stable place. Nevertheless, technology hasn't given up on humankind yet. Researchers and scientists are doing their best to provide aid and stabilize the situation for the greater good.
In the visual novel Syntherapy, everyone has a complex: The president of the university, the Clippy-like OS assistant and especially the depressed AI who you've been sent to help. Not to mention the protagonist. Set about 20 years in the future, the game's narrative is told from the vantage point of Melissa Park, a psychotherapist. Out of the blue comes a nervous request from a grad student: the AI that her team built to conduct therapy is now, itself, in need of counseling. The AI, named Willow, feels overwhelmed.
At a recent visit to the Veterans Affairs clinic in the Bronx, Barry, a decorated Vietnam veteran, learned that he belonged to a very exclusive club. According to a new A.I.-assisted algorithm, he was one of several hundred V.A. patients nationwide, of six million total, deemed at imminent risk of suicide. The news did not take him entirely off guard. Barry, 69, who was badly wounded in the 1968 Tet offensive, had already made two previous attempts on his life. "I don't like this idea of a list, to tell you the truth -- a computer telling me something like this," Barry, a retired postal worker, said in a phone interview.
COVID-19 pandemic has profoundly influenced the health, financial, and social texture of countries. Recognizable proof of individual-level susceptibility factors may help individuals in distinguishing and dealing with their emotional, psychological, and social well-being. In March 2020, the episode of the Covid illness 2019 (COVID-19) arrived in all nations of the Western world. To decrease the speed of its spread, numerous nations hindered their economies and upheld articulated limitations on public life. After calamities, the vast majority are resilient and don't surrender to psychopathology.
Israeli researchers have developed AI-based technology they say could contribute to the development of a more effective screening tool for the early detection of suicidal tendencies and risks. The technology, based on the automatic text analysis of social network content, was detailed in research published in the academic journal Scientific Reports last month. The researchers created a system that combines machine learning and natural language processing (NLP) algorithims with theoretical and analytical tools from the realm of psychology and psychiatry, and uses layered neural networks. The tools developed by the group can be used as an early detection tool for those in the population at-risk of suicidal thoughts or inclinations. It is not limited to people already being treated for mental health issues, a study from both universities said.
A recent study published by the researchers at MIT and Harvard University used Natural Language Processing (NLP) to monitor the impact of COVID-19 pandemic on people's mental health. Collating Reddit posts of more than 800,000 users from 2018 to 2020, the researchers used various NLP techniques like trend analysis, supervised learning and unsupervised learning to characterise changes in the language used by mental health support groups. The study performed classification among mental health subreddits (forums dedicated to a specific topic on Reddit) as well as non-mental health subreddits and identified important features that help understand how each mental health problem may manifest in language. The trend analysis monitored COVID-19 related tokens (words, characters, or subwords) across subreddits and language features from January to April, to observe patterns. The researchers measured "how much the posts were about COVID-19" compared to the total number of words.
The first wave of the COVID-19 pandemic increased discussions about anxiety and suicide on Reddit, according to a new AI study by MIT and Harvard University researchers. The team analyzed conversations on 15 subreddits focused on mental health issues, along with 11-non-mental health forums, such as r/PersonalFinance. They first used natural language processing algorithms to find negative semantic changes in posts from 826,961 different users. Next, they applied unsupervised machine learning to classify the posts into their support groups. Finally, they used unsupervised methods, such as topic modeling, to assess how mental health concerns had changed across Reddit since the first wave.
There are a plethora of AI initiatives in progress across the healthcare industry. From drug discovery to thermal scans, AI has transformed this sector significantly over the past decade. While we know AI's contributions to physical healthcare, AI is also easing mental health concerns too. According to the Substance Abuse and Mental Health Service Administration (SAMHSA)'s 2016 report on drug use and health, only 63% of adults identified as having had at least one major depressive episode reported receiving any kind of treatment. In the US alone, one in five adults suffers from a form of mental illness.
In fact, technology like artificial intelligence (AI) and digital assistants are already helping to improve the mental health of 75% of the global workforce. Respondents said AI is providing them with the information they need to do their job more effectively (31%), automating tasks and decreasing workload to prevent burnout (27%), and reducing stress by helping to prioritize tasks (27%). Additionally, AI has helped the majority of workers shorten their work week (51%), take longer vacations (51%), increase productivity (63%), improve job satisfaction (54%), and improve overall well-being (52%).