Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{171438,
        author = {Arumilli Durga Pallavi and Borana Sonali and Muthyam Likitha and Mungara Mahesh and Ch.Adibabu and Mummidi Pratyusha and Dr.V.Bhaskara raju},
        title = {PARKINSON’S DISEASE  DIAGNOSIS AND MANAGEMENT USING ARTIFICIAL INTELLIGENCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {3310-3314},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171438},
        abstract = {Artificial intelligence (AI) has found numerous applications in computer-aided diagnostics, monitoring and management of parkinsonism. Parkinson’s disease (PD) is the second most frequent neurodegenerative disorder that affects parts of the brain responsible for the motor functions. Old assessments of PD symptoms are conducted by questionaries and clinical assessments which have many limitations. To overcome these limitations, AI is used to detect PD and track its progression from nocturnal breathing signals, raw speech recordings in patients, radio frequency (RF) based wireless monitoring, Video assessments, closed loop detection, finger-tapping, wearable sensors and smartphone apps. The management of parkinsonism can be done by using digital biomarkers for speech and voice impairments, hypomimia (facial dynamics), gait impairment and by using home-based telemedicine systems.},
        keywords = {assessments, computer based, hypomimia, parkinsonism},
        month = {December},
        }