Deep Learning–Based Artificial Intelligence Algorithm to Classify Tremors from Hand‐Drawn Spirals
Supervised DL algorithms can effectively detect tremor syndromes from hand-drawn spirals, offering unbiased, feature-independent classification with higher accuracy than human raters. © 2025 International Parkinson and Movement Disorder Society.
Authors
- A. Mahabal (ORCID: https://orcid.org/0000-0003-2242-0244)
- Divya Madathiparambil Radhakrishnan (ORCID: https://orcid.org/0000-0002-0641-7398)
- Reghu Anandapadmanabhan
- Roopa Rajan (ORCID: https://orcid.org/0000-0003-4987-7252)
- Achal Kumar Srivastava (ORCID: https://orcid.org/0000-0002-4590-7947)
- Nitish L. Kamble (ORCID: https://orcid.org/0000-0002-7933-8826)
- Syam Krishnan (ORCID: https://orcid.org/0000-0002-2889-2771)
- Vikram Venkappayya Holla (ORCID: https://orcid.org/0000-0002-3634-2219)
- Aayushi Vishnoi (ORCID: https://orcid.org/0000-0002-3555-3428)
- Pramod Kumar Pal (ORCID: https://orcid.org/0000-0002-4085-2377)
- Venugopalan Y. Vishnu (ORCID: https://orcid.org/0000-0002-3654-8137)
- Praveen James
- Deepak Joshi (ORCID: https://orcid.org/0000-0002-6532-2356)
- Geetha Raman
- Jeena Thachan
- Beulah Amulyavathi Gangaraju
Institutions
- California Institute of Technology (US)
- Sree Chitra Thirunal Institute for Medical Sciences and Technology (IN)
- All India Institute of Medical Sciences (IN)
- Indian Institute of Technology Delhi (IN)
- National Institute of Mental Health and Neurosciences (IN)
Publication Details
- Journal
- Movement Disorders
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1002/mds.30176
- Citations
- 4
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 5.56
Funders
- Department of Biotechnology, Ministry of Science and Technology, India