Parkinson’s disease is a serious ailment that adversely affects the brain and physical movements of individuals. Although Parkinson’s comes in various stages, some of the most well-known symptoms of the disease include stiffness, tremors, and delayed movements that worsen as time goes on.
It goes without saying that earlier detection of Parkinson’s within individuals opens the door to them receiving treatments at a faster rate, hence empowering them to weather the disease in a more effective manner.
While a cure has yet to be discovered, the treatment options to help impacted persons include medication, various therapies, and sometimes even brain surgery.
Currently, the healthcare industry at large continues to review how artificial intelligence (AI) can help individuals facing different medical challenges. Amid this work, one new study suggests that AI could help facilitate earlier detection of Parkinson’s disease.
A closer look at this study
According to the British-based UCL Institute of Ophthalmology and Moorfields Eye Hospital, an optical coherence tomography (OCT) scan recently discovered that individuals with Parkinson’s disease have variations in their eyes, compared to persons without the disease.
