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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21653
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Total Authors : 22459
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| Paper Title: | Predicting Parkinson’s Disease Using MRI Scans and Spiral Images: A Machine Learning Approach |
| Authors Name: | Himanshu Kothari , Dhriti Soni , Janhvi Dixit , Medhansh Purwar , Manan Shah,Dr. S. Ebenezer Juliet |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205265
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| Published Paper Id: | IJRTI2507075 |
| Published In: | Volume 10 Issue 7, July-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i7.205265 |
| Abstract: | Parkinson’s disease (PD) is a progressive neurodegenerative disorder that requires early and accurate diagnosis to facilitate effective treatment and clinical management. Conven- tional clinical evaluation is generally non-specific and does not identify the disease at the onset stage. This study proposes a new method of PD prediction based on multimodal data—MRI scans and spiral drawings—and using cutting-edge deep learning methods. We used CNNs and LSTM networks for sequence pattern recognition and feature extraction, and Vision Transformers (ViTs) for high-level spatial analysis. We also investigated multimodal fusion models to fuse information from different data sources. The experiments showed that multimodal models are superior to single-modality counterparts and provide increased accuracy and robustness. This research highlights the promise of combining cutting-edge imaging technologies with deep learning to make early, non-invasive, low-cost, and scalable diagnosis of Parkinson’s disease possible, leading to AI-powered healthcare innovations. |
| Keywords: | Deep Learning, Convolutional Neural Networks (CNNs), Long Short-Term Mem- ory (LSTM) Networks, Pattern Detection, ResNet-18, Single-Modality Models |
| Cite Article: | "Predicting Parkinson’s Disease Using MRI Scans and Spiral Images: A Machine Learning Approach", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a683-a697, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507075.pdf |
| Downloads: | 000719 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2507075
Registration ID:205265
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i7.205265
Page No: a683-a697 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507075 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507075 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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