Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/69422, first published
.

Journals
- Saggio G, Roselli P, Pietrosanti L, Romano A, Arangino N, Patera M, Suppa A. A New Geometric Algebra-Based Classification of Hand Bradykinesia in Parkinson’s Disease Measured Using a Sensory Glove. Algorithms 2025;18(8):527 View
- Lin W, Zhou T, Yang Q. A Biomechanics-Guided and Time–Frequency Collaborative Deep Learning Framework for Parkinsonian Gait Severity Assessment. Mathematics 2025;14(1):89 View
- Li S, Chen S, Yu X, Shang H, Tu T, Quan M. AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review. Journal of Medical Internet Research 2026;28:e85596 View
- Kim M, Youm C, Park H, Kim B, Choi H, Hwang J, Cheon S. Machine learning classification of early-stage Parkinson’s disease using sit-to-walk biomechanical features. Scientific Reports 2026;16(1) View
- Shcheglov B, Yakovenko A, Artemenko A, Ledkov E, Biktimirov A. Wearable Digital Devices as a Tool for Objective Assessment of Motor Disorders in Parkinson’s Disease: A Review of Current Studies. Advanced Engineering Research (Rostov-on-Don) 2026;26(1):2257 View
- Sferratore J, Patel T, Penza A, Jovanovic E, Blum L, Seshadri D. Designing Human-Centered Wearables for Parkinson’s Patients. Human Factors in Healthcare 2026:100136 View
Books/Policy Documents
- Gupta M, Tiwari D. The Role of Generative AI in Cognitive Diseases Diagnosis, Treatment Planning, and Future Healthcare. View
Conference Proceedings
- Hemmerling D, Stepień J, Krzywdziak J, Dudek M, Szecówka W, Śliwa A, Wodziński M, Danioł M, Igras-Cybulska M, Wójcik-Pedziwiatr M. 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). Multimodal Feature Fusion in Mixed Reality for Detection of Neurodegenerative Disorders View
