Z.A. ZALYALOVA^1, 2, I.A. KHASANOV³, D.M. KHASANOVA¹, G.R. ILINA¹, Т.A. KUTNIKOVA⁴, О.L. PLESHKOVA⁵, Z.R. ALIMETOVA², Е.A. GUBAREVA⁶

¹Republic Consultative and Diagnostics Center for Extrapyramidal Pathology, Kazan

²Kazan State Medical University, Kazan

³BRAINPHONE Digital Solutions for Diagnostics of Brain Disorders LLC, Kazan

⁴Orenburg Regional Clinical Neuropsychiatric Hospital of War Veterans, Center for Extrapyramidal Pathology, Orenburg

⁵AS Neurology LLC, Izhevsk

⁶Tolyatti City Clinical Hospital No. 5, Tolyatti

Contact details:

Khasanova D.M. – Ph. D. (medicine), neurologist

Address: 5 Isaev St., Kazan, Russian Federation, 420039, tel.: +7-905-039-88-95, e-mail: diana.khasanova1987@gmail.com

In the article we discuss the features of Parkinson’s disease (PD) diagnostics: the generally accepted clinical criteria, their sensitivity and specificity compared to modern diagnostic methods like a voice diagnostic service for PD based on artificial intelligence technologies.

The purpose was to clinically test a prototype of a voice-based PD diagnostic service developed as part of the BRAINPHONE project.

Material and methods. 100 patients (a balanced sample) who applied to the Republic Consultative and Diagnostic Center for Extrapyramidal Pathology (Kazan) were included in the unselected cohort clinical study. All patients were first examined by two experienced specialists in Parkinson’s disease and then by a trained neural network. The neural network conclusions options were «Parkinson’s disease cannot be excluded» or «No signs of Parkinson’s disease» (decision threshold 0.5).

Results. As a result of testing the service, the following data were obtained: sensitivity — 80%, specificity — 92%. Compared with the generally accepted clinical criteria for diagnosing PD, voice diagnosis using a trained neural network developed within the BRAINPHONE project in this study showed comparable results in sensitivity and better results in specificity.

Key words: Parkinson’s disease, diagnostics, artificial intelligence, voice diagnostics, parkinsonism, voice.

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