Yes, AI indeed can help in making our mental health better. The innovative tech of Artificial Intelligence can play an active role in diagnosing any mental health issue we face. At SkilloVilla, we make sure to educate you in the right direction regarding AI and machines with our well-constructed Data Science and Machine Learning career track.
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Ai for mental health how is it making our life better
1. AI for mental health: how is it making our life better?
Is it possible to have a personal assistant on our smartphones
and other devices that can help us keep a track of our mental
health? Or help us identify any subtle changes in our mood or
how we react to a specific situation? Yes, AI indeed can help in
making our mental health better. The innovative tech of
Artificial Intelligence can play an active role in diagnosing any
mental health issue we face. In addition, AI can help us suggest
treatments for the same. These are exciting times that we are
in where AI for mental health is slowly becoming a reality.
In a way, this is the need of the hour, too, as more and more
mental health issues are being identified globally. The
acceptance for the same is also rising. We no longer feel the
need to skirt the problems to sound ‘’cool’’ in front of our
friends and family.
The National Alliance on Mental Illness has reported that 1 in 5
US adults suffer from mental health issues at least once in
their lifetime. In the UK, too, mental health is the single most
significant cause of disability. NHS England spent close to £9.7
billion on Mental Health care. We cannot compare the mental
agony a patient and their family members go through to the
monetary measures taken by these institutions.
How can AI help our mental health and well-being?
2. AI runs on the information it is fed on or the data it collects,
especially in machine learning. The data gathered by our smart
devices is increasing exponentially along with the ever-
increasing number of daily interactions. This helps
in increasing the capabilities of the machine learning systems.
When we become open to disclosing our data analyzed for our
mental wellness, it benefits the AI tremendously. We must do
the data sharing only on platforms we trust.
IBM research
3. The team at IBM used Machine Learning and Natural Language
Processing to analyze the transcript and audio from numerous
hours of psychiatric sessions. This helps the therapists predict
and monitor a range of mental health conditions, including
psychosis and depression. Guillermo Cecchi at IBM Research
shared a fascinating prediction. Which stated that what we
write and say will indicate our mental and physical health in
the coming years.
Research from Havard
4. Researchers from Havard and the University of Vermont have
confirmed that it is not just our speech patterns that can help.
For example, the photos we post on Instagram can assist
in analyzing predictive markers of depression. They used
colour analysis, metadata, and algorithmic face detection to
identify those participants who may suffer from mental health
issues. With machine learning, the team got a rate of 70% in
detecting a problem.
To read about the developments of AI in the Voice industry,
click here.
Why is AI promising in the field of mental health?
AI can analyze humongous quantities of data which could be of
varied types. It also constructs a predictive pattern that is
impossible for human beings even if they are highly trained.
This doesn’t mean therapists won’t be needed in the future.
This innovation can help patients and therapists by
possibly detecting issues earlier and help with a conducive
diagnosis and medication.
AI, Mental health, and Chatbot
5. AI tools can help in creating new treatment protocols.
Like Woebot, an AI-based chatbot app designed by Alison
Darcy, a clinical psychologist. The Chatbot offers cognitive
behaviour therapies (CBT) to its users by asking a series of
pre-decided questions in a conversational form. This facility is
available anytime, which is not possible with clinical therapy
sessions. It could help many of us who don’t want to approach
therapists. One major reason is the fear of being judged or any
social stigma attached to asking for clinical therapy.
We all understand the rising cases of stress and stress-related
diseases; that can affect anyone and relate to family, work or
financial pressures. According to the survey by The American
Psychological Association, about 80% of respondents suffer
from at least one stress symptom in the past month. AI has the
6. potential to detect and suggest treatment for people who are
suffering from high stress-related issues.
The Ethical Angle
We are faced with more ethical dilemmas as AI becomes a part
of our lives more and more. For example, we may have to
decide how much data our smart devices and social media
platforms can gather about us. The companies will also have to
develop more robust, secure systems. To protect this data from
gaining and maintaining public trust.
At SkilloVilla, we make sure to educate you in the right
direction regarding AI and machines with our well-
constructed Data Science and Machine Learning career
track. We have live classes conducted by the Industry masters,
Industry use cases, and concept videos to make your learning
exciting and all-encompassing. In addition, the placement
support team at SkilloVilla can help you get that foot in the
door with our top 300+ partner companies by preparing you
for job interviews and building a solid resume.
7. If this interests you, you can know more
about SkilloVilla’s curriculum and the courses offered; feel free
to reach out at www.SkilloVilla.com.