Персонализированная реабилитация при расстройстве аутистического спектра: технологии искусственного интеллекта для диагностики, прогнозирования и адаптивных вмешательств
https://doi.org/10.17749/2949-5873/rehabil.2026.87
Аннотация
Расстройства аутистического спектра (РАС) представляют собой гетерогенную группу нарушений нейроразвития. Проблема диагностики и терапии аутизма характеризуется высокой социальной значимостью и необходимостью разработки эффективных реабилитационных стратегий. Технологии искусственного интеллекта (ИИ) открывают принципиально новые возможности для персонализации реабилитационных вмешательств при РАС. В настоящем обзоре рассматриваются ключевые направления интеграции ИИ в клиническую практику: объективизация диагностики чрез анализ цифровых фенотипов, прогнозирование индивидуальных траекторий развития и ответа на терапию, а также создание адаптивных терапевтических систем. Отдельное внимание уделено ИИ-ассистированным технологиям развития социально-коммуникативных навыков, включая виртуальную реальность и социальную робототехнику. Метааналитические данные подтверждают клиническую пользу ИИ-технологий с умеренно высокими эффектами для социальной коммуникации, распознавания эмоций и адаптивных навыков. Показано, что естественные развивающие поведенческие вмешательства в сочетании с технологиями альтернативной коммуникации демонстрируют устойчивые улучшения спонтанной коммуникации у минимально вербальных пациентов. Обсуждаются перспективы персонализации терапии на основе данных физиологического мониторинга и прогностического моделирования, а также роль телемедицинских технологий и интеллектуальных систем поддержки семей. Анализируются критические вызовы внедрения ИИ-систем: от рисков конфиденциальности до трансляционного разрыва между исследованиями и клинической практикой. В целом максимальная реализация потенциала ИИ в реабилитации пациентов с РАС требует сбалансированного подхода, объединяющего точные и объяснимые алгоритмы, инклюзивный пользовательский дизайн и междисциплинарное сотрудничество с активным вовлечением аутичных лиц и их семей на всех этапах разработки и внедрения передовых технологий.
Об авторах
И. В. ШиролаповРоссия
Широлапов Игорь Викторович, к.м.н., доцент
Scopus Author ID: 35776847200
ул. Чапаевская, д. 89, Самара 443099
М. С. Сергеева
Россия
Сергеева Мария Станиславовна, к.б.н., доцент
Scopus Author ID: 57195917349
ул. Чапаевская, д. 89, Самара 443099
А. В. Захаров
Россия
Захаров Александр Владимирович, к.м.н., доцент
WoS ResearcherID: G-7595-2016
Scopus Author ID: 36115593500
ул. Чапаевская, д. 89, Самара 443099
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Рецензия
Для цитирования:
Широлапов И.В., Сергеева М.С., Захаров А.В. Персонализированная реабилитация при расстройстве аутистического спектра: технологии искусственного интеллекта для диагностики, прогнозирования и адаптивных вмешательств. Реабилитология. 2026;4(3):243-256. https://doi.org/10.17749/2949-5873/rehabil.2026.87
For citation:
Shirolapov I.V., Sergeeva M.S., Zakharov A.V. Personalized rehabilitation in autism spectrum disorder: artificial intelligence technologies for diagnosis, prediction, and adaptive interventions. Journal of Medical Rehabilitation. 2026;4(3):243-256. (In Russ.) https://doi.org/10.17749/2949-5873/rehabil.2026.87
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