Diagnostic Support Service for Medical Professionals
A precise mental health diagnostic solution designed for professionals, iMindwave Pro
Assists from mental disorder diagnosis to treatment resistance analysis.


iMindwave Pro
Depression Diagnosis
· Accuracy Rate: 86%
· AUC (95% CI)
Sensitivity | Specificity |
---|---|
85.559% | 85.544% |
-Shim M, Hwang HJ, Lee SH. Toward practical machine-learning-based diagnosis for drug-naïve women with major depressive disorder using EEG channel reduction approach. J Affect Disord. 2023 Oct 1;338:199-206.
-Kim H, Baik SY, Kim YW, Lee SH. Improved cognitive function in patients with major depressive disorder after treatment with vortioxetine: A EEG study. Neuropsychopharmacol Rep. 2022 Mar;42(1):21-31.
-Choi KM, Kim JY, Kim YW, Han JW, Im CH, Lee SH. Comparative analysis of default mode networks in major psychiatric disorders using resting-state EEG. Sci Rep. 2021 Nov 10;11(1):22007. doi: 10.1038/s41598-021-00975-3. Erratum in: Sci Rep. 2021 Dec 14;11(1):24271.
Diagnosable Mental Disorders

MDD

Schizophrenia

PTSD

Alzheimer

others etc
BWAVE Inc. Diagnostic and Evaluation Algorithm Platform
- Extraction of EEG Characteristics for Diagnosing Major Mental Disorders
A technology that analyzes abnormal brain regions and network dysfunctions by dynamically tracking EEG data. - AI Algorithm for Mental Disorder Diagnosis
An advanced algorithm that navigates the complex brain, detecting connectivity and network patterns to diagnose major mental disorders. - AI Diagnosis and Evaluation Based on Data Science
A technology for diagnosing mental illness and classifying treatment-resistant subtypes using artificial intelligence combined with big data.

Diagnosis Process

MDD Probability
- AI Predict
MDD - MDD Probabillity
95.99% - HC Probabillity
29.59%
- Ttreatement Refractoriness
Medication TR index 56.7% - Good Response
Brain Stim. GR index 76.7%