
Akshar Mitra: a multimodal integrated framework for early dyslexia detection.
Innovative Akshar Mitra framework detects dyslexia in 10-15% of children using eye-tracking, speech, and handwriting analysis. ππ
Discover the newest research about AI innovations in π§ Neuroscience.

Innovative Akshar Mitra framework detects dyslexia in 10-15% of children using eye-tracking, speech, and handwriting analysis. ππ

Innovative CFC method enhances Parkinson’s speech recognition, improving remote monitoring efficacy. Promising results for rehabilitation systems! ππ§

Exploring predictive control in visual attention: gaze behavior reflects cognitive states like expectation and learning. π§ π

Deep learning assesses Parkinson’s gait via smartphone videos: AUC 0.87, F1 score 0.806, precision 73.68%. π±π§

Revolutionary MRI framework achieves 94% faster scans, utilizing RF excitation data for diverse image contrasts. π§ π

Second harmonic generation (SHG) microscopy enhances brain imaging, revealing critical insights into trauma, tumors, and neurodegenerative diseases. π§ π¬

Exploring Inner Speech Decoding: Neural Signals, Machine Learning, and Ethical Implications π§ π¬

“Multimodal contrastive learning enhances rs-fMRI analysis for post-surgery brain network recovery in hypothalamic hamartoma patients. π§ π”
AI tool PICTURE accurately differentiates glioblastoma from similar brain tumors during surgery, aiding timely treatment decisions. π§ π

Machine learning predicts mild cognitive impairment stages with 94% accuracy using gait, body composition, and sleep data. π§ π