Research.
Published work, validation methodology, and the science behind DART's diagnostic models.
An Agentic AI Framework for Unified Brain Health Profiling: Integrating Multimodal Neurological Data with Foundation Models
Conference of Applied Scientific & Machine Learning 2025
Indian Institute of Science (IISc), Bengaluru
This paper presents DART's approach to multi-modal neurological data fusion — combining EEG, VNG, MRI, and clinical records into a unified diagnostic output running entirely on-premise. Validated across 97+ neurologists in the US, India, Switzerland, and Canada.
- Venue
- IISc Bengaluru · 2025
- Status
- Published
- Team
- Braindata Intelligence Pvt. Ltd.
Deeper Problem Understanding
The inefficiency is structural. Not a workflow problem — a data architecture problem.
Fragmented Inputs
EEG, VNG, ANS, CNSVS, Posturography, imaging & PDFs live in separate systems. A neurologist spends 6 billable hours generating a single med-legal report.
→ 205 neurologists & attorneys validated: avg 4–6 hrs / report
Missed Cross-Modal Signals
Human bandwidth cannot reliably link signals across tests and patient history. High-impact diagnostic cues are routinely missed.
→ 56% of TBI deaths in the US result from misdiagnosis
No Comprehensive Patient Profile
Neurologists lack time to build a holistic patient picture. Signal-to-noise ratio is critically high in complex neurological cases.
→ Confirmed by attorneys, insurers & clinicians alike
Before Review #1
97+
Neurologists across US, India, Switzerland, Canada
2×
Cognitive load than normal in med-legal TBI cases
Since Review #1 — New
85
New conversations post-R1
3
Audience types engaged
Neurologists · Attorneys · Device companies
Key post-R1 insight
Device companies see DART as an embedded analytics layer.
Positive Impact in MVP
Measured outcomes from live deployments across 3 hospitals and 8 law offices.
Saving Critical Time for Neurologists
| Diagnostic Task | Before | Time Now | Reduced |
|---|---|---|---|
| Cognitive & Limbic Vitals | 45 mins | 3 mins | 93% |
| EEG Calculations & Interpretations | 3 hours | 4 mins | 95% |
| Videonystamography Interpretations | 60 mins | 2 mins | 93% |
| Vestibular & Gait Interpretations | 20 mins | 2 mins | 90% |
| 1,000-page Medical Records Review | 2 days | 4 hours | 99% |
| Radiology Imaging Analysis | 3+ hours | 3 mins | > 99% |
Uncovering Previously Hidden Insights
We were able to link depression/anxiety to longer saccade latencies and show frontal-theta's role in saccade control in 85% of outputs of patients with depression history.
In an MVA dispute, MedRecs flagged healthy pre-accident neurology. An independent neurologist confirmed. Outcome: $25,000 case won for a single mother.
When minutes mattered
“At 2 a.m., MedSight flagged TBI patterns on a Brain MRI. I urged the night OPD for immediate treatment — the decision helped save my friend's mother.”
How DART Works
DART's models run entirely on-premise inside the client's infrastructure. No patient data is transferred or stored externally under any circumstances.
The system fuses EEG, VNG, ANS, CNSVS, Posturography, imaging, and clinical PDF records into a single synthesised output using a multi-modal fusion pipeline. Each data stream is normalised before fusion to eliminate format inconsistency as a source of diagnostic error.
Every claim in the output is anchored to a source document or diagnostic finding. The report includes reason codes and citations so that clinicians and attorneys can trace any conclusion back to its evidence.
The long-term goal is a longitudinal Brain Credit Score — a standardised, explainable neurological profile for every patient, built incrementally across appointments and updated as new data arrives.
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