Technological Innovations for Parkinson Disease: Is Artificial Intelligence the Key to Better Diagnosis and Management?
The American Parkinson Disease Association estimates that there will be over 20 million people living with Parkinson all over the world by 2030, so it is very important to find an objective and efficient way to improve the diagnosis rate of this condition. In this episode we will explore how machine learning algorithms are being used on a variety of data modalities, including acoustic voice recording and handwritten patterns, for the diagnosis of Parkinson disease.
References:
- Ileșan RR, Cordoș CG, Mihăilă LI, Fleșar R, Popescu AS, Perju-Dumbravă L, et al. Proof of Concept in Artificial-Intelligence-Based Wearable Gait Monitoring for Parkinson's Disease Management Optimization. Biosensors (Basel). 2022;12(4):189. Available at: https://www.mdpi.com/2079-6374/12/4/189
- Ya Y, Ji L, Jia Y, Zou N, Jiang Z, Yin H, et al. Machine Learning Models for Diagnosis of Parkinson's Disease Using Multiple Structural Magnetic Resonance Imaging Features. Front Aging Neurosci. 2022;14:808520. Available at: https://www.frontiersin.org/articles/10.3389/fnagi.2022.808520/full
- Castelli Gattinara Di Zubiena F, Menna G, Mileti I, Zampogna A, Asci F, Paoloni M, et al. Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson's Disease. Sensors (Basel). 2022;22(24):9903. Available at: https://www.mdpi.com/1424-8220/22/24/9903
- Paul S, Maindarkar M, Saxena S, Saba L, Turk M, Kalra M, et al. Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson's Disease: A Narrative Review. Diagnostics (Basel). 2022;12(1):166. Available at: https://www.mdpi.com/2075-4418/12/1/166
- Ahsan MM, Luna SA, Siddique Z. Machine-Learning-Based Disease Diagnosis: A Comprehensive Review. Healthcare (Basel). 2022;10(3):541. Available at: https://www.mdpi.com/2227-9032/10/3/541
- Rana A, Dumka A, Singh R, Panda MK, Priyadarshi N, Twala B. Imperative Role of Machine Learning Algorithm for Detection of Parkinson's Disease: Review, Challenges and Recommendations. Diagnostics (Basel). 2022;12(8):2003. Available at: https://www.mdpi.com/2075-4418/12/8/2003
- Trabassi D, Serrao M, Varrecchia T, Ranavolo A, Coppola G, De Icco R, et al. Machine Learning Approach to Support the Detection of Parkinson's Disease in IMU-Based Gait Analysis. Sensors (Basel). 2022;22(10):3700. Available at: https://www.mdpi.com/1424-8220/22/10/3700
- Jassar S, Adams SJ, Zarzeczny A, Burbridge BE. The future of artificial intelligence in medicine: Medical-legal considerations for health leaders. Healthc Manage Forum. 2022;35(3):185-189. Available at: https://journals.sagepub.com/doi/10.1177/08404704221082069
- Islam S, Rahman W, Abdelkader A, Yang PT, Lee S, Adams JL, et al. Using AI to Measure Parkinson’s Disease Severity at Home. arXiv:2303.17573. 2023. Available at: https://arxiv.org/abs/2303.17573
NON-2023-11928-DIC23