Future trends and challenges in occupational therapy: Insights from a Delphi study.
Future trends in occupational therapy: 36 experts highlight tech integration, digital literacy, and ethical AI concerns. 📈🧠
February 3, 2026
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Discover the newest research about AI innovations in 🧠 Neuroscience.
Enhancing Brain Tumor Classification and Generalization Using DDPM-Generated MRI, Mutual Information and Ensemble Learning.
Enhancing brain tumor classification with DDPM-generated MRI shows 89% accuracy using mutual information. 📊🧠
February 1, 2026
Multi-Scale Adaptive Temporal Network for Parkinson’s Motor Symptom Fluctuation Detection Using Coarsened 2D Skeleton Pose Data.
Revolutionary deep learning framework achieves 99.63% accuracy in monitoring Parkinson’s motor symptoms using 2D skeleton pose data! 🤖📊
January 30, 2026
Mapping the Ischemic Continuum: Dynamic Multi-Omic Biomarker and AI for Personalized Stroke Care.
Exploring AI and multi-omics for personalized stroke care: a comprehensive review of ischemic biomarkers and their implications. 🧠🔬
January 10, 2026
Health Tech Suppliers Share Insights for 2026
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
January 2, 2026
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. 📊📚
December 21, 2025
Cross-domain Fisher criterion for remote therapeutic efficacy assessment of Parkinson’s disease via speech recognition.
Innovative CFC method enhances Parkinson’s speech recognition, improving remote monitoring efficacy. Promising results for rehabilitation systems! 📊🧠
December 19, 2025
Adaptive Visual Selection: Predictive Control of Visual Attention.
Exploring predictive control in visual attention: gaze behavior reflects cognitive states like expectation and learning. 🧠👀
December 16, 2025
Deep learning-enabled accurate assessment of gait impairments in Parkinson’s disease using smartphone videos.
Deep learning assesses Parkinson’s gait via smartphone videos: AUC 0.87, F1 score 0.806, precision 73.68%. 📱🧠
December 15, 2025
Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings.
Revolutionary MRI framework achieves 94% faster scans, utilizing RF excitation data for diverse image contrasts. 🧠📊
December 15, 2025