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- DOI 10.18231/j.ijn.2025.021
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CrossMark
- Citation
A study of artificial intelligence - Based machine learning and radiomic texture features in Parkinson`s (Outcome of subthalamic nucleus deep brain stimulations analysis)
- Author Details:
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Venkateshwarla Rama Raju *
Background: Goal of this study is to apply AI-based machine learning and advanced radiomic textures in Parkinson’s, to predict subthalamic-nucleus(STN) outcome of Parkinson disease patients’ stimulations done with deep brain stimulators by applying the radiomic techniques such that quantifiable image/signal-features’ or textures extrapolated.
Materials and Methods: Parkinson subjects (Parkinson diseased patients) were recruited in this study. Subjects with advanced PD of >5 years with good response to L-Dopa and H and Y score of<4>
Results: The highest mean prediction accuracy was obtained using normalized linear-regression (96.65±7.24%, AUC: 0.98±0.06) and DNN (87.25± 14.80%, AUC:0.87±0.18).
Conclusion: Findings reveal the potential power of radiomic-features achieved from hippocampus and amygdal? MRI within the prediction of STN-DBS motor outcomes for PD subjects.
Keywords: Amygdal?, Deep brain stimulation, Hippocampus, Motor outcome, Parkinson disease, Prediction, Radiomic features, Radiomics, Textures.
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How to Cite This Article
Vancouver
Raju VR. A study of artificial intelligence - Based machine learning and radiomic texture features in Parkinson`s (Outcome of subthalamic nucleus deep brain stimulations analysis) [Internet]. IP Indian J Neurosci. 2025 [cited 2025 Oct 02];11(2):94-104. Available from: https://doi.org/10.18231/j.ijn.2025.021
APA
Raju, V. R. (2025). A study of artificial intelligence - Based machine learning and radiomic texture features in Parkinson`s (Outcome of subthalamic nucleus deep brain stimulations analysis). IP Indian J Neurosci, 11(2), 94-104. https://doi.org/10.18231/j.ijn.2025.021
MLA
Raju, Venkateshwarla Rama. "A study of artificial intelligence - Based machine learning and radiomic texture features in Parkinson`s (Outcome of subthalamic nucleus deep brain stimulations analysis)." IP Indian J Neurosci, vol. 11, no. 2, 2025, pp. 94-104. https://doi.org/10.18231/j.ijn.2025.021
Chicago
Raju, V. R.. "A study of artificial intelligence - Based machine learning and radiomic texture features in Parkinson`s (Outcome of subthalamic nucleus deep brain stimulations analysis)." IP Indian J Neurosci 11, no. 2 (2025): 94-104. https://doi.org/10.18231/j.ijn.2025.021