Review Article

Year : 2023 | Volume : 4 | Issue : 2 | Page : 38-44

Artificial Intelligence in Parkinson's Disease: Transforming Diagnosis, Management and Treatment

Swetha Senthilkumar, Gayathri R. Menon, Bavadharani V., and Balasubramanian Murugesan

1Department of Biotechnology, PSG College of Arts & Science, Coimbatore- 641014, Tamil Nadu, India.

Address for Correspondence:

Dr. Balasubramanian Murugesan

Department of Biotechnology, PSG College of Arts & Science, Coimbatore- 641014, Tamil Nadu, India.

Email id: balsubramanianm@gmail.com

ABSTRACT

Parkinson’s disease is one of the most common brain disorders, affecting more than 10 million people worldwide. It gradually interferes with movement, speech, and daily life. Traditional diagnosis often relies on observation, which can lead to delays and uncertainty in treatment. Today, artificial intelligence (AI) is offering new hope. From spotting early signs of the disease in brain scans to tracking symptoms through wearable devices, AI is opening doors to faster diagnosis, better monitoring, and personalized treatment. This review looks at how AI is being used in Parkinson’s disease research and care-from advanced imaging and digital biomarkers to drug discovery and deep brain stimulation. We also discuss the challenges, including data quality, transparency of AI systems, and regulatory hurdles. Overall, the evidence suggests that AI has the potential to transform how Parkinson’s disease is diagnosed and managed, making treatment more precise and patient-centered.

Keywords: Parkinson’s disease; artificial intelligence; digital biomarkers; diagnosis

Conflict of interest

The authors have nothing to disclose or any conflicts of interest.

Source of funding-

None

How to cite this article: Swetha S, Gayathri R.M, Bavadharani V., & Balasubramanian M, (2023). Artificial Intelligence in Parkinson's Disease: Transforming Diagnosis, Management and Treatment: Original Article. International Journal of Prosthodontic Rehabilitation, 4(2), 38–44. https://doi.org/10.56501/Int.J.Prosthodont.Rehabil.v4.i1.intjpr0009