From the 1 of 4 linked papers with an AI index.
4 papers
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
The paper reviews 239 studies on using artificial intelligence for deep brain stimulation in movement disorders, evaluating how mature the technologies are and identifying validati…
Simultaneous hyperkinetic movement disorders phenotyping: a cross-cohort pediatric transfer study using routine videos, markerless pose estimation and a tabular foundation model
Laura Cif, Diane Demailly, Zohra Souei +11
Objective: To develop and externally test a video-based framework for simultaneous detection of hyperkinetic MDs phenomenologies: dystonia, tremor, myoclonus, chorea, athetosis, ba…
Deep Learning Pose Estimation for Multi-Label Recognition of Combined Hyperkinetic Movement Disorders
Laura Cif, Diane Demailly, Gabriella A. Horvà th +15
Hyperkinetic movement disorders (HMDs) such as dystonia, tremor, chorea, myoclonus, and tics are disabling motor manifestations across childhood and adulthood. Their fluctuating, i…
BrainDistill: Implantable Motor Decoding with Task-Specific Knowledge Distillation
Yuhan Xie, Jinhan Liu, Xiaoyong Ni +11
Transformer-based neural decoders with large parameter counts, pre-trained on large-scale datasets, have recently outperformed classical machine learning models and small neural ne…