By Igor Dolgushin, Doctor of Medicine, CEO and Founder of SENSOR23
At SENSOR23, we believe that a clear and healthy mind is the foundation of a happy life.
Our mission is simple: to help people manage their mental health and truly feel their best every day.
We work with a wide range of conditions—anxiety, depression, burnout, and chronic stress.
AI assists us in uncovering root causes, personalising treatments, and achieving faster, more precise results.
In this article, I’ll share how we use AI to transform mental healthcare.
At our centre, we focus on two key areas: Therapy, for in-depth diagnosis and treatment, and the Brain Spa, designed to reset and recharge the mind.
Let’s dive in.
Therapy: A Comprehensive Approach to Mental Health
Therapy involves in-depth diagnostics and treatment based on integrative medicine.
To treat mental disorders, we use advanced early-stage diagnostics, brain mapping, microbiome analysis, and assessments of acids, vitamins, heavy metals, hormones, and more.
In sum, it provides a comprehensive understanding of the root cause of the disease and condition.
We apply a holistic therapeutic approach that harmonises the spirit, mind, and body.
To balance these aspects, there are various methods: brain stimulation techniques, protobiomodulation, electrical stimulation, and neurofeedback.
For example, during neurofeedback, a patient observes their brain activity in real time and learns to control it, as well as achieve a state of relaxation, activate mental activity, or improve specific brain functions.
Molecular therapy is also used in various ways, with IV therapy being the primary method.
The Mind’s Reset Button: Brain Spa for Mental Wellness
The Brain Spa is designed to quickly reset the mind, relieve tension, and manage stress.
It’s a solution for patients facing high-pressure lives filled with multitasking and exhaustion. We offer a quick and effective reboot for the nervous system.
How does it work?
Patients undergo a brief 10-minute assessment. Next, they have neurofeedback training to learn relaxation techniques.
The patient then undergoes vagal nerve stimulation to stabilise the autonomic nervous system.
Then, they enter a specialised “reboot zone,” which includes controlled stress exposure, a sauna, contrast showers, bilateral audio stimulation using MDR technology, aromatherapy, and light therapy.
And then, to completely relieve stress and tension, the patient undergoes relaxing manual and physiotherapy.
By the way, many of the methods overlap with our therapy treatments, and they are effective even for severe mental health conditions.
How AI Assists with Brain and Mental Health Disorders
At SENSOR23, we extensively use AI technologies in diagnosing, treating, and preventing mental health disorders.
Our AI-driven approach has attracted investor interest and secured funding from FTT Labs, led by Boris Gertsovsky.
Here are three main AI solutions we are currently using and working on:
- ISyncMe – Brain Mapping Technology
- A mobile application featuring a 24/7 support psychologist and personalised nutrition analysis
- Predictive algorithms for mental disease detection
Brain Mapping Technology
ISyncMe is a South Korean brain mapping system that shows how different brain regions function.
This tool provides a complete brain map in just 20 minutes and compares patient data to a global database.
Brain mapping, together with other biomarkers and general psychological assessments, is crucial for detecting Alzheimer’s in its early stages.
In such cases, we can reduce the risk of disease progression.
Previously, a specialist would spend hours analysing a brain map. ISyncMe completes this process in just 10 minutes.
Example Case: Emotional Distress & Brain Mapping
Let me explain how it works in a real case.
A patient had a delusional disorder, emotional dysregulation, and anxiety.
With brain mapping, we identified hyperactivity in the brain region responsible for emotional processing.
A large red hotspot on the scan indicated excessive activity, meaning this area was all the time producing distressing thoughts.
We used proton stimulation and transcranial electrostimulation to deactivate this hyperactive brain region.
Two weeks later, a follow-up scan showed normalised brain activity, and the patient’s symptoms disappeared.
AI-Powered Psychological Support in Your Pocket
Even after clinical therapy, patients require ongoing support.
That’s why we’ve developed an app with an AI chatbot that provides 24/7 assistance with personalised exercises and recommendations.
The app also tracks mental health conditions based on a patient’s neurological and biochemical profile.
Our mobile application integrates two AI solutions:
- A 24/7 psychologist that provides assistance at any time based on patient data and inquiries. For example, if a patient reports experiencing anxiety, the AI recommends specific exercises and offers guidance tailored to their condition.
- Personalised nutrition analysis. Patients can upload lab results, and the AI generates daily nutritional recommendations. They can even take pictures of restaurant menus to analyze whether a meal is suitable for them.
The app includes video consultations with specialists, a chatbot, curated courses, meditation programmes, and more. It’s ready but not yet publicly available, as we are in the regulatory phase.
In about a month, the app will be activated.
Building the Global Mental Health Database
Our primary focus for the next year is predictive medicine. We are developing one of the most comprehensive mental health and neurological databases in the world.
Predictive algorithms, trained on structured and accurate data, will transform how brain and mental disorders are understood and treated globally.
This approach integrates comprehensive analysis, including amino acid profiles, microbiomes, vitamins, brain mapping, and mental health diagnostics.
Our colleagues previously conducted a project that predicted ischemia and heart attack mortality rates with 94 per cent accuracy.
Now, we aim to expand this expertise to the prediction of mental and brain diseases.
Case Study: Comprehensive Mental Health Recovery with Artificial Intelligence and Deep Clinical Methodology
Let me share another case from our practice that demonstrates how AI technologies are integrated into real-life clinical practice to help identify and treat mental disorders.
A patient came to us with a severe form of depression that he had been unable to treat for five years. Antidepressants and antipsychotics didn’t work, as the condition continued to worsen.
After brain mapping, amino acid testing, and hormonal analysis, we found no clinical depression. Instead, the patient was experiencing chronic burnout and metabolic stagnation due to prolonged stress and the loss of loved ones.
Under supervision, we adjusted the treatment plan: we replaced antidepressants and unnecessary medications with brain stimulation, molecular therapy, and neurofeedback training.
Within a month, the patient fully recovered.
Here’s how the main indicators changed:
Before vs. After (10-point scale):
- Mood: 3 → 8
- Energy: 3 → 8
- Anxiety: 10 → Only situational
- Motivation: 0 → 8
- Depression: 10 → 0
- Sleep: 3 → 10
- Cognitive function: 3 → 8
Final Thoughts: How AI Supports Us in This Journey
As we expand to new centers in Dubai, Abu Dhabi, and Doha, our focus remains the same: to provide AI-driven mental health solutions that empower people to take control of their well-being. Nowadays, AI improves our work in several ways.
First, the technology optimises reporting and data comparison. It processes brain mapping results much faster than any human could.
Typically, analysing a single brain map manually takes hours, but AI completes it in just 10 minutes.
Second, real-time support and availability. For example, having a human nutrition specialist available around the clock is unrealistic.
We ensure that patients receive the assistance they need—even after they leave clinical treatment and transition back to everyday life.
Finally, AI enables predictive modeling. With technology we detect early warning signs from even a small set of biomarkers, which is crucial for preventing severe disorders like dementia.
At the core of everything we do, therapy remains the priority.
AI is a powerful tool—it improves therapy but doesn’t replace it.
