Kashaganova, G. B.Ilakhunov, P. Kh.2024-12-122024-12-122024Kashaganova, G. B. Remote monitoring using the keras library / G. B. Kashaganova, P. Kh. Ilakhunov // Комп’ютерно-інтегровані технології автоматизації технологічних процесів на транспорті та у виробництві : матеріали всеукр. наук.-практ. конф. здобувачів вищ. освіти і молодих учених, 20 листоп. 2024 р. / Харків. нац. автомоб.-дор. ун-т. – Харкiв, 2024. – С. 126–130.https://dspace.khadi.kharkov.ua/handle/123456789/23136This article discusses the use of modern technologies, including mobile applications and neural networks, for remote patient monitoring. Various applications of artificial intelligence in medicine are described, such as real-time monitoring, diagnostics, personalized treatment, and remote consultation. Particular attention is paid to the use of mobile device cameras in medical applications for video consultations, symptom recognition, disease monitoring, and patient response analysis. An example code for image classification using deep neural networks is provided. The final part of the article discusses the importance of using mobile health with neural networks for remote patient monitoring and predicting possible complications.enmobile applicationsmedical monitoringartificial intelligenceneural networksremote diagnosticsvideo consultationssymptom recognitionpersonalized treatmentremote consultationdeep learningimage classificationpatient healthArticle004