Muhammad Imran Khan

Parkinson's disease diagnosis using machine learning and multimodal biomarkers: A systematic review.

Multimodal fusion architectures, particularly cross-attention transformers integrating motor, voice, and gait data, consistently outperformed unimodal approaches by 4%-8% in the area under the receiver operating characteristic curve (AUC), with the largest gains in early stage detection and differential diagnosis tasks...