Parkinson's Disease

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Overview

The field studies how to detect Parkinson’s disease, measure symptom severity and progression, distinguish it from other conditions, and guide treatment. Common approaches analyze speech, gait, facial motion, typing, handwriting, clinical assessments, brain imaging, EEG, and molecular data using machine learning, self-supervised representations, and multimodal models. Researchers also investigate forecasting and personalized interventions, including diffusion models for progression and adaptive controllers for deep brain stimulation. A central challenge is proving that models generalize across people, clinics, languages, and devices, since site differences and data limitations can make strong benchmark results misleading.

Latest papers

CardsList

36 papers1 paper in the last four weeks, down 80% on the four weeks before. 0.0% of all new papers.

  1. When Participant Disjoint Validation Is Not Enough to Establish Generalization in Parkinson's Gait Classification

    Oct 12, 2026Md. Sifat, Sania Akter, Akif Islam +1Parkinson's Disease ClassificationCross-Domain Generalization

    Department of Computer Science and Engineering, University of Rajshahi, Motihar, Rajshahi, 6205, Bangladesh

  2. Cross-Lingual Parkinson's Disease Severity Assessment Using Pre-trained Speech Embeddings: A Multi-Class Evaluation

    Sep 16, 2026Simon Pals, Cristian Tejedor-GarciaParkinson's Disease Detection from SpeechParkinson's Disease

    Centre for Language Studies Radboud University Nijmegen, the Netherlands

  3. From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening from Hand-Drawn Patterns

    Sep 13, 2026Aritra Dey, Utsav Kumar Nareti, Chandranath Adak +3Parkinson's Disease ClassificationParkinson's Disease

    Dept. of CSE, Indian Institute of Technology Indore, India-453552 · Dept. of CSE, Indian Institute of Technology Patna, India-801106 · M. R. Bangur Hospital, West Bengal, India-700033 +1

  4. Exploiting Speech LLM Representations for Multilingual and Cross-Lingual Parkinson's Disease Detection

    Sep 13, 2026Sarthak Giri, Zi Haur Pang, Tatsuya KawaharaParkinson's Disease Detection from SpeechParkinson's Disease

    Graduate School of Informatics, Kyoto University, Japan

  5. 3rd Place Solution to Human Motion Challenges in Real-World and Clinical Settings (MoCha) @ECCV2026: Language-Aligned Motion Representations for Domain-Generalizable UPDRS-Gait Severity Estimation

    Sep 9, 2026Soojie Kim, Muhammad Munsif, Minkyung Kim +1Representation LearningMedical Diagnosis

    UNIST, South Korea

  6. Freezing of Gait Prediction Under Spatial Occlusion: An IMU-Supervised Cross-Modal Distillation Approach

    Sep 9, 2026Chandan Biswas, Aryan Singh, Anabik PalCross-Modal Knowledge DistillationGait Analysis

    NeuroAI Fusion Labs Kolkata, India · Indian Institute of Science Education and Research Berhampur, Odisha

  7. More Motion Is Not Always Better Motion: Corpus Composition Governs Whether Augmentation Helps SMPL-Based Parkinsonian Gait Severity Estimation

    Aug 24, 2026Michael Caiola, Andrew C. WeitzSynthetic Data AugmentationGait Analysis

    Credence, McLean VA, USA

  8. Aggregate, Don't Adapt: Subject-Level Posterior Aggregation and Transductive Calibration for Cross-Site Parkinsonian Gait Severity

    Aug 20, 2026Junlong ShenGait AnalysisParkinson's Disease

    University of Alberta, Edmonton, Canada

  9. Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection

    Aug 13, 2026Serli Kopar, Sam Gijsen, Abner Hernandez +2Cross-Lingual TransferSpeech Processing

    Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany · Tübingen AI Center, University of Tübingen, Tübingen, Germany · Charité–Universitätsmedizin, Department of Psychiatry and Psychotherapy, Berlin, Germany +1

  10. Towards Context-Aware Clinical Motion Understanding in Daily Living at Home: Freezing of Gait Detection with Egocentric Vision

    Aug 13, 2026Vayalet Stefanova, Diwas Lamsal, Margot Genbrugge +5Gait AnalysisParkinson's Disease

    Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium · Neurorehabilitation Research Group (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium · Institute of Interdisciplinary Exercise Science and Sports Medicine, Medical School Hamburg, Hamburg, Germany +2

  11. Label-Free Parkinson's Disease Screening from Face and Voice through Mechanistic Interpretability

    Aug 10, 2026Jiaheng Su, Yu SunMechanistic InterpretabilityMultimodal Anomaly Detection

    Independent Researcher, Los Angeles, CA, USA · California State Polytechnic University, Pomona, CA, USA

  12. Neuromorphic Silicon Neuron Controller for Adaptive Deep Brain Stimulation in Parkinson's Disease

    Jul 5, 2026Md Abu Bakr Siddique, Jakub Orłowski, Yan Zhang +1Neuromorphic ComputingParkinson's Disease

    Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, Michigan, USA · School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland · Department of Biological Sciences, Michigan Technological University, Houghton, Michigan, USA

  13. Backspace as a Natural Experiment: An Accelerated Failure Time Model of Selective Post-Error Motor Impairment in Parkinsons Disease

    Jun 30, 2026Navin BondadeMedical DiagnosisParkinson's Disease

    Institute of Health Informatics, University College London

  14. Interpretable machine learning predicts Parkinson's disease severity using motion-corrected QSM MRI and multiband multiecho fMRI features

    Jun 26, 2026Aixa X. AndradeClinical Outcome PredictionExplainable Medical Image Analysis

    Lyda Hill Department of Bioinformatics · Department of Biomedical Engineering · University of Texas Southwestern Medical Center, Dallas, Texas, USA

  15. Every Step of the Way: Video-based Parkinsonian Turning Step Counting

    Jun 26, 2026Qiushuo Cheng, Jingjing Liu, Catherine Morgan +2Gait AnalysisParkinson's Disease

    School of Computer Science Faculty of Engineering University of Bristol Bristol, UK · North Bristol NHS Trust Bristol, UK

  16. Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease

    Jun 24, 2026Navin BondadeParkinson's DiseaseParkinson's Disease Classification

    Institute of Health Informatics, University College London

  17. MOSAIC: Modality-Specific Adaptation for Incremental Continual Learning in Parkinson's Disease Gait Assessment

    Jun 11, 2026Minlin Zeng, Zhipeng Zhou, Yang Qiu +2Cross-Modal Knowledge DistillationContinual Learning

    Nanyang Technological University, Singapore · Pacific Parkinson’s Research Centre, University of British Columbia, Canada

  18. Interpretable Temporal Facial-Region Motion Analysis for In-the-Wild Parkinson's Disease Video Classification

    Jun 8, 2026Riyadh AlmushrafyVideo UnderstandingMedical Diagnosis

    Majmaah University, Saudi Arabia · Department of Computer Science and Information, College of Science, Majmaah University, Saudi Arabia

  19. Treatment-Conditioned Diffusion for Forecasting Neurodegenerative Disease Progression

    May 28, 2026Danylo Boiko, Viktoriia MishkurovaLongitudinal Medical Image AnalysisClinical Outcome Prediction

    Innoloft Inc. 701 Brazos Street, Austin, TX 78701, USA · Bogomolets National Medical University Beresteiskyi Avenue, 34, Kyiv, 03057, Ukraine

  20. Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models

    May 24, 2026Muhammad Ashad Kabir, Sirajam MuniraParkinson's DiseaseZero-Shot Learning

    School of Computing, Mathematics and Engineering, Charles Sturt University, NSW, Australia · Department of Computer Science, Rensselaer Polytechnic Institute, NY, USA

  21. CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support

    May 19, 2026Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1Clinical Decision SupportConformal Prediction

    University of Florida · MD Anderson Cancer Center · University of Louisville

  22. From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint

    May 15, 2026Jacques Raynal, Pierre Slangen, Elsa Raynal +1Latent Dynamics ModelingGait Analysis

    Laboratory of Bioengineering and Nanosciences (LBN), University of Montpellier, France · 2EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Alès, France · 3Certified Sophrologist and Dental Assistant, Sensorimotor Practice, Montpellier, France +1

  23. A Benchmark for Early-stage Parkinson's Disease Detection from Speech

    May 13, 2026Terry Yi Zhong, Cristian Tejedor-Garcia, Khiet P. Truong +3Parkinson's Disease Detection from SpeechBenchmark Design

    Centre for Language Studies, Radboud University, Nijmegen, the Netherlands · Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Nijmegen, the Netherlands

  24. SGC-RML: A reliable and interpretable longitudinal assessment for PD in real-world DNS

    May 8, 2026Wenbin Wei, Ruixiang Gao, Suyuan Yao +3Selective PredictionUnified Multimodal Models

    ∗ Equal contribution. · † Corresponding author.

  25. Observable Performance Does Not Fully Reflect Adaptive System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint

    May 1, 2026Jacques Raynal, Pierre Slangen, Elsa Raynal +1Gait AnalysisParkinson's Disease

    Laboratory of Bioengineering and Nanosciences (LBN), University of Montpellier, France · EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Alès, France · Certified Sophrologist and Dental Assistant, Sensorimotor Practice, Montpellier, France +1

  26. Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection

    Apr 27, 2026Nicholas R. Rasmussen, Longwei Wang, Rodrigue Rizk +5Distribution Shift RobustnessElectroencephalography

    USD AI Research, Department of Computer Science, University of South Dakota, Vermillion, SD 57069, USA · Biomedical and Translational Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA · Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom +1

  27. Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals

    Apr 20, 2026Meheru ZannatCross-AttentionSelf-Supervised Time Series Representation Learning

    Khulna University of Engineering & Technology (KUET), Bangladesh

  28. STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments

    Apr 19, 2026Md Mezbahul Islam, John Michael Templeton, Christian Poellabauer +1Multimodal ClassificationClinical Prediction

    School of Computing & Information Sciences, Florida International University, Miami, FL, USA · College of AI, Cybersecurity and Computing, University of South Florida, Tampa, FL, USA

  29. Predicting Neuromodulation Outcome for Parkinson's Disease with Generative Virtual Brain Model

    Mar 31, 2026Siyuan Du, Siyi Li, Shuwei Bai +10Clinical Outcome PredictionParkinson's Disease

    College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China · Shanghai AI Laboratory, Shanghai, China · University of Science and Technology of China, Anhui, China +6

  30. Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease

    Mar 23, 2026Abner Hernandez, Eunjung Yeo, Kwanghee Choi +12Self-Supervised Speech Representation LearningDomain Adaptation

    1FAU Erlangen-Nürnberg, Germany · 2UT Austin, USA · 3CMU, USA +5