BrainTwin-AI: A Multimodal MRI-EEG-Based Cognitive Digital Twin for Real-Time Brain Health Intelligence

These results demonstrate BrainTwin's reliability, interpretability, and clinical utility as an integrated digital companion for tumor assessment and real-time functional brain monitoring.

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Publication Details

Journal
Brain Sciences
Published
2026-04-13
DOI
https://doi.org/10.3390/brainsci16040411
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

BrainTwin-AI: A Multimodal MRI-EEG-Based Cognitive Digital Twin for Real-Time Brain Health Intelligence

Himadri Nath Saha, Rajarshi Karmakar, Jon Turdiev, Utsho Banerjee
Brain Sciences
Brain Tumor Detection and Classification
article

BrainTwin-AI: A Multimodal MRI-EEG-Based Cognitive Digital Twin for Real-Time Brain Health Intelligence

Himadri Nath Saha, Rajarshi Karmakar, Jon Turdiev, Utsho Banerjee
article en

Abstract

These results demonstrate BrainTwin's reliability, interpretability, and clinical utility as an integrated digital companion for tumor assessment and real-time functional brain monitoring.

Brain SciencesVol. 16(4)
University of Calcutta (IN), University of Engineering & Management (IN), Illinois Institute of Technology (US), San Francisco State University (US)
Openalex Percentile: Top 22%
Brain Tumor Detection and Classification
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