A new study reveals artificial intelligence (AI) could help faster diagnosis of Alzheimer’s and improve patient prognosis. The research carried out by the Neuroscience Institute, University of Sheffield examines the burden of neurodegenerative diseases such as Parkinson’s and Alzheimer’s on the NHS. And, how the routine use of AI could relieve the time and economic impact of these diseases on the national healthcare service of the country.
For neurodegenerative diseases, age is the main risk factor. And, with expanding longevity of populations worldwide, the number of individuals with neurodegenerative diseases is likely to be very high. According to estimates, the number of people alone with Alzheimer’s is predicted to touch 115 million by 2050, to pose a real challenge for health services.
The study published in Nature Reviews Neurology reveals the role of AI technologies to detect neurodegenerative diseases. Meanwhile, these neurodegenerative diseases cause part of the brain to stop functioning, before progressive symptoms worsen. The study finds, AI technologies such as machine learning can improve patients’ chances of receiving benefit from successful treatments for these diseases.
AI to find use to predict severity of Neurodegenerative diseases
“Most neurodegenerative diseases do not have cure, and in many cases diagnosis happens late due to their molecular complexity,” stated the lead author of the study. For this, widespread implementation of AI technologies can help predict probability of occurrence of neurodegenerative diseases, find the study. For example, AI technologies can predict patients who show mild cognitive impairment are likely to develop Alzheimer’s disease. And, it also helps to predict how severely the motor skills of these patients are likely to decline over time.
Besides this, AI-powered technologies can be used for patients to communicate their symptoms remotely and in the privacy of their homes. This will enormously help patients with mobility issues.