Nat Rev Neurol: Artificial intelligence technology may be expected to accelerate and improve the diagnosis of Alzheimer's disease.

August 6, 2020 // -- In a recent study published in the international journal Nature Reviews Neurology, scientists from the University of Sheffield and others said that using artificial intelligence (AI) may help quickly diagnose Alzheimer's disease and improve patient prognosis;
Sources source: Wikipedia/public domain Many of the main risk factors for neurological disorders are age, and as life expectancy increases globally, the number of people with neurodegenerative diseases is expected to reach an unprecedented number, with researchers predicting that by 2050, the number of Alzheimer's patients alone will be living That triples to 115 million, which poses a challenge to health systems; in this study, researchers used AI techniques, such as machine learning algorithms, to detect neurodegenerative diseases before symptoms worsened, improving patients' chances of benefiting from successful disease modification therapy.
researcher Professor Laura Ferraiuolo said many neurodegenerative diseases are still incurable, and in many cases many cases are often diagnosed late because of the molecular complexity of the disease; for example, the widespread use of AI technology can help predict which patients with mild cognitive impairment will develop Alzheimer's disease and how their motor skills will decline over time.
AI-driven technology can also help patients communicate their symptoms remotely, such as at home, which is a huge benefit for patients with motor impairments.
The training will enable machine learning algorithms to recognize changes in medical imaging images, patient movement information, language recording, etc., which may make AI a valuable diagnostic tool, and it can also be used by radiology professionals to quickly analyze images and follow up on patients' disease progression." The
algorithm also helps assess a patient's cognitive function by listening to the patient's language and helping to analyze the vocabulary and other semantic characteristics of the language, in addition to using information contained in electronic health records or genetic files to develop the best therapeutic solution for the patient.
researcher Monika Myszczynska points out that the use of AI in clinical practice can save the NHS money by reducing the need for patients affected by diseases such as motor neuron disease to travel to diagnosis, which is particularly important during an outbreak, and that it may be too early to talk about the results of treatment. In the late
study, researchers will also focus on improving current diagnostic techniques for neurological diseases, while developing new algorithms to use AI to predict patients' disease prognosis and discover new drug discoveries;
sources: Myszczynska, M.A., Ojamies, P.N., Lacoste, A.M.B. et al. applications of machine learning to diagnosis and treatment of neurodegenerative diseases. Nat Rev Neurol 16, 440-456 (2020). doi:10.1038/s41582-020-0377-8.