Could AI be the answer to early Parkinson’s disease diagnoses?

Parkinson’s disease is a significant health concern with profound impacts on individuals, the health care system and broader society. The current diagnosis model, which heavily relies on a medical professional interpreting data, often means the disease is nearly always diagnosed in the later stages, where more care and support is needed.

Victoria University (VU) researcher Dr. Siuly Siuly is determined to improve the diagnostic process. “Our interest in using AI as a diagnostic tool stems from the recognition of its potential to revolutionize health care by providing faster, more accurate, and cost-effective diagnoses.

“AI has shown remarkable capabilities in analyzing complex datasets like electroencephalogram (EEG) data quickly, automatically and accurately, making it ideal for medical applications such as diagnosing diseases.

“By developing advanced AI-based techniques, we aim to enhance early detection and ultimately improve the management of this devastating condition,” Dr. Siuly said.

Her research using an AI-based technique to analyze EEG (an important tool in the diagnosing of Parkinson’s) data, showed more accurate and efficient detection of the disease as compared with traditional visual inspection methods currently used by medical professionals.

The research, published in Computers in Biology and Medicine, is a proof of concept. Now the real work begins to design the software in conjunction with health care and software partners.

It’s hoped this software can be adapted for use in other neurological disorders that rely on EEG data for diagnoses including Alzheimer’s disease, mild cognitive impairment and autism.

“This is a dynamic area of research and has the potential to revolutionize how we detect and treat significant health challenges,” Dr. Siuly added.