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2025
Applications of Artificial Intelligence in Neurosurgery for Improving Outcomes Through Diagnostics, Predictive Tools, and Resident Education
World Neurosurgery
2025
Characteristics of responders to interventions for Parkinson disease: a scoping systematic review
Neurodegenerative Disease Management
2025
Visualizing functional network connectivity differences using an explainable machine-learning method
Physiological Measurement
2025
AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson’s disease for the development of neuronal fingerprints using artificial intelligence
BMJ Open
2025
A Data-Driven Exploration and Prediction of Deep Brain Stimulation Effects on Gait in Parkinson's Disease
IEEE Journal of Biomedical and Health Informatics
2024
Understanding societal challenges: a NeurotechEU perspective
Frontiers in Neuroscience
2024
Microelectrode assisted deep brain stimulation: Considerations for anesthesia
Deep Brain Stimulation
2024
Personalizing Deep Brain Stimulation Therapy for Parkinson’s Disease With Whole-Brain MRI Radiomics and Machine Learning
Cureus
2024
Machine Learning in Neurosurgery: Toward Complex Inputs, Actionable Predictions, and Generalizable Translations
Cureus
2024
Predictive modeling of sensory responses in deep brain stimulation
Frontiers in Neurology
2024
Aging suppresses subthalamic neuronal activity in patients with Parkinson's disease
European Journal of Neuroscience
2024
Predicting tremor improvement after MRgFUS thalamotomy in essential tremor from preoperative spontaneous brain activity: A machine learning approach
Science Bulletin
2023
The Role of Levodopa Challenge in Predicting the Outcome of Subthalamic Deep Brain Stimulation
Movement Disorders Clinical Practice
2023
The altered spontaneous neural activity in patients with Parkinson's disease and its predictive value for the motor improvement of deep brain stimulation
NeuroImage: Clinical
2023
Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence
Biomedicines
2023
Ensemble machine learning regression model based predictive framework for Parkinson’s UPDRS motor score prediction from speech data
International Journal of Speech Technology
2022
Proceedings of the Ninth Annual Deep Brain Stimulation Think Tank: Advances in Cutting Edge Technologies, Artificial Intelligence, Neuromodulation, Neuroethics, Pain, Interventional Psychiatry, Epilepsy, and Traumatic Brain Injury
Frontiers in Human Neuroscience
2022
Preoperative Levodopa Response and Deep Brain Stimulation Effects on Motor Outcomes in Parkinson's Disease: A Systematic Review
Movement Disorders Clinical Practice
2022
2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
2022
Developments in the mechanistic understanding and clinical application of deep brain stimulation for Parkinson’s disease
Expert Review of Neurotherapeutics
2022
Noise removal of deep brain stimulation artifacts in subthalamic nucleus neurons local field induced electrical potentials
IP Indian Journal of Neurosciences
2022
Multicenter Validation of Individual Preoperative Motor Outcome Prediction for Deep Brain Stimulation in Parkinson’s Disease
Stereotactic and Functional Neurosurgery
2021
Machine learning-based personalized subthalamic biomarkers predict ON-OFF levodopa states in Parkinson patients
Journal of Neural Engineering
2021
Prediction of Deep Brain Stimulation Outcome in Parkinson’s Disease With Connectome Based on Hemispheric Asymmetry
Frontiers in Neuroscience
2021
Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning
Brain Stimulation
2021
PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes
International Journal of Computer Assisted Radiology and Surgery