MIT's new AI model can successfully detect Parkinson's disease

Neurological disorders are some of the leading sources of disability globally and Parkinson's disease is the fastest-growing neurological disease in the world. Parkinson's is difficult to diagnose as diagnosis primarily relies on the appearance of symptoms like tremors and slowness but these symptoms usually appear several years after the onset of the disease. The model also estimated the severity and progression of Parkinson's, in accordance with the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS), which is the standard rating scale used clinically. The research findings have been published in the journal Nature Medicine. The researchers trained the model by using nocturnal breathing data (data collected while subjects were asleep) from various hospitals in the US and some public datasets.