Application of artificial intelligence in medical data analysis

Бурсов, А. И.

doi:10.18786/2072-0505-2019-47-071

Cited by 5 publications

(5 citation statements)

References 16 publications

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“…The algorithms of AI are based on medical data analysis and their processing in accordance with given algorithms. Currently, not only the data of an objective examination and the patient's history are being analyzed, but also the analyses results and examinations, gotten by medical equipment [7].…”

Section: Application Of Machine Learning To Medical Image Analysismentioning

confidence: 99%

Machine learning in lung lesion detection caused by certain diseases

Khoroshchuk,

Liubinskyi

2023

Math. Model. Comput.

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Section: Application Of Machine Learning To Medical Image Analysismentioning

confidence: 99%

Machine learning in lung lesion detection caused by certain diseases

Khoroshchuk,

Liubinskyi

2023

Math. Model. Comput.

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“…Значительные успехи достигнуты в создании и использовании нейротехнологий. Подобные изобретения уже проникли в различные сферы человеческой жизни, исключением не стала и сфера здравоохранения [1]. Особое место в сфере медицины занимают изучение и использование интерфейса мозг-компьютер (ИМК), который представляет собой нейрокоммуникационный комплекс «НейроЧат», снабженный гарнитурой, регистрирующей ЭЭГ.…”

Section: оригинальные исследованияunclassified

Study of the effectiveness of training using the “NeuroChat” brain–computer interface at a later age

Zakharova

Karunin

Шарашкина³

et al. 2022

Russian Military Medical Academy Reports

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BACKGROUND: This article examines the effectiveness of training using the increasingly popular braincomputer interface NeuroChat on a sample of older people. AIM: The purpose of this study is to determine the effectiveness and characteristics of training using the NeuroChat device. MATERIALS AND METHODS: The study involved 41 patients 6 men and 35 women aged 55 to 89 years with various comorbid conditions, undergoing planned treatment at the Russian Gerontology Research and Clinical Centre of the N.I. Pirogov Russian national research medical University. As research methods, a set of diagnostic tests was used: Montreal Cognitive Assessment (MoCA-test), Bourdons test (correction test), 10-word auditory-speech memory test, visual memory test, thinking test 4-th superfluous (4 subtests were used), The Hospital Anxiety and Depression Rating Scale (HADS), as well as the neurotraining using the NeuroChat braincomputer interface. RESULTS: By comparing the control test data with the test data conducted at the beginning of the study, the following results were obtained. Significant changes were found between groups in the 10-word memory test. It is also possible to note an improvement in the indicator of cognitive functioning in general (MoCA screening test), however, this indicator significantly improved in the control group. There was no correlation between the effectiveness of neurotraining with the use of the NeuroChat device and the number of sessions conducted. Changes in the psycho-emotional component of the life of the subjects were not found. CONCLUSION: The use of trainings using the NeuroChat device has a positive effect on the cognitive characteristics of older people without affecting the psycho-emotional sphere. The improvement in the characteristics of the cognitive sphere is confirmed by the results of diagnostic tests and occurs after the first use of the NeuroChat braincomputer interface. The authors consider it necessary to study the relationship between training using the NeuroChat device and improving the cognitive characteristics of people of different age groups, especially the improvement of auditory-speech memory.

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“…Штучний інтелект (англ. Artificial Intelligence -AI) -це наука і технологія створення інтелектуальних машин та інтелектуальних комп'ютерних програм, яка входить у комплекс комп'ютерних наук, а створювані на її основі технології належать до ІТ-технологій [35,48].…”

Section: результати та їх обговоренняunclassified

“…На відміну від жорстких алгоритмів, ШІ самонавчається. До ШІ відносять різні програмні системи та застосовувані в них методи й алгоритми [12,35,48].…”

Section: результати та їх обговоренняunclassified

“…Одна із значущих проблем застосування ШІ в медицині -підготовка коректних медичних даних для навчання алгоритмів, оскільки для цього потрібна велика кількість часу фахівців вузького профілю. Як можливе рішення може бути створення об'єднаної платформи зберігання медичних даних, де лікарі зможуть готувати дані для застосування ШІ у своїй спеціальності [48].…”

Section: результати та їх обговоренняunclassified

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Intellectual systems in the management of medical technologies and quality of life

Kizhaev¹,

Petrenko²,

Мазур³

et al. 2021

Med. perspekt.

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The article is devoted to the development and use of intelligent systems in the management of medical technological processes and health-related quality of life (HRQOL). The relevance of the work is due to the need for effective use of intelligent systems in healthcare. The purpose of this work is to study the possibilities and prospects of using information technologies and artificial intelligence systems in clinical medicine to improve the efficiency of providing medical care to the population. Information retrieval method; theoretical analysis of legislative and regulatory documents, literary sources, Internet resources, research results; spectral-dynamic and mathematical analysis of the current state and assessment of the quality of life of an individual using the artificial intelligence system "CME". The paper analyzes the development trends of information technologies and artificial intelligence systems, as well as the features of their use in medical technological processes. As an example, the technological capabilities of the intelligent system Complex Medical Expert are briefly described.

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Application of artificial intelligence in medical data analysis

Cited by 5 publications

References 16 publications

Machine learning in lung lesion detection caused by certain diseases

Machine learning in lung lesion detection caused by certain diseases

Study of the effectiveness of training using the “NeuroChat” brain–computer interface at a later age

Intellectual systems in the management of medical technologies and quality of life

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