Innovation
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What is Mind-Station
Mind Station is a personalized AI-based mental health care service. It emulates psychiatric therapy process, al-lowing users to manage their mental health independently
Engineering
Text-based Mood Disorder Analysis Algorithm
We possess a patent for an algorithm that analyzes user diary entries to identify their emotional states and mood fluctuations. This algorithm detects emotional amplitude, word frequency, and other patterns to recognize early signs of mood disorders like stress and depression.
Generative AI-based Textual Psychiatry Counseling (Lang Chain)
Based on the user's diary content, our AI, which has learned responses from psychiatrists and counselors, generates counseling text. Utilizing generative AI and prompt engineering, we've enhanced the genuineness and accuracy of consultations.
Digital Phenotype Algorithm Construction
The algorithm analyzes anonymized data from smartphones, like sleep duration, step count, and travel distance, to construct a digital phenotype. Organized with AI, it correlates an individual's life-style and habits with emotional state changes, giving users an intuitive view. This helps users to clearly understand and manage their mental health status
Voice-Based Depression Severity Classification Algorithm
We hold a patent for an algorithm that analyzes a user's voice to measure the severity of depression.
This algorithm was developed through joint research with top-tier hospitals in South Korea. It measures depression severity by analyzing the waveform and patterns of the voice, rather than the content of the speech.
Personalized AI Mental Care
Mind Station's Unique AI Algorithm
Mind Station utilizes an algorithm developed by psychiatric specialists.
Based on data from top-tier hospital in South Korea
The hospital experimentally employs this algorithm, which diagnoses depression in high-risk individuals with over 80% accuracy
Ongoing enhancements to this algorithm objectify emotions, aiding in the treatment and management of mood disorder patients
Personalized Care Process
Mind Station has adopted the latest prompt engineering in generative AI
This AI, trained on psychiatric responses, rapidly analyzes users' diaries, offering optimal counseling replies. Specifically, among high-risk individuals, suicidal thoughts reduced in 60% and depressive feelings decreased in 50% when using this system.
Only 7% of South Koreans with depression seek psychiatric services, but 16.7% of our high-risk users were linked to such services, successfully leading some to medication therapy. This showcases the convergence of modern medicine and technology for personalized treatments.
Digital Phenotype
"Digital Phenotype" refers to representing individual behavioral traits in digital data based on lifelogs
While globally, this field is nascent, its potential is vast.
It precisely assesses one's emotional state and provides personalized self-
care, ensuring privacy by using anonymized data.
