Researchmultimodalspeech processingmci detection
Dual-Modal Model Detects Mild Cognitive Impairment
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8.2
Researchers at National Taiwan University publish a 2026 JMIR Med Inform paper introducing a dual-modal longitudinal system that uses autobiographical memory speech and text to detect mild cognitive impairment (MCI). The model incorporates an aging trajectory module to align local and global temporal features across visits. Experiments report AUROC of 0.85 and 0.89 on two Chinese datasets and validation accuracy above 0.88 on ADReSSo.
Scoring Rationale
Strong peer-reviewed longitudinal multimodal results driving practical MCI screening, limited by dataset scope and clinical validation.
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