O‘zbekiston кardiologiyasi 2-jild 1-son (2025) · 46-57-betlar
Benefits and risks of implementing the Neuromed AI medical decision support system in the cardiology service of the Republic of Uzbekistan.
Fozilov, Khurshid, Trigulova, Raisa, Фозилов, Хуршид, Тригулова, Раиса, Fozilov, Xurshid, Trigulova, Raisa
Annotatsiya
Aim: Clinical testing of the NeuromedAI Cardio intelligent system, designed to automate routine tasks of cardiologists and improve the quality of medical care; Materials and methods. The study used the NeuromedAI Cardio intelligent system and a questionnaire, including 28 questions aimed at expert assessment of the potential benefits of the system for doctors. The questionnaire helped to define the main requirements for the system, as well as formulate recommendations for improving the model. In particular, areas were identified for enriching the training dataset and further training the model in order to improve the accuracy of responses; Results. As part of a pilot study of the Neuromed system conducted in 2024, an anonymous survey of 21 cardiologists was organized. The average experience of the participants was 17 ± 11.1 years. Analysis of the questionnaires showed that during interaction with the system, specialists asked a total of 400 questions, which reflects a high level of interest in the technology and its active testing in the professional environment; Conclusion. Based on the obtained results, it is planned to develop recommendations for adapting the system for implementation in the practice of primary health care in the Republic of Uzbekistan. It is expected that the adapted system will improve the accuracy of diagnosis and the effectiveness of treatment at the primary level, which will be reflected in the improvement of key indicators of public health and will receive positive feedback from health workers.
интеллектуальная системаврач-кардиологоценка рисковнеструктурированные данныеподдержка принятия клинических решенийintelligent systemcardiologistrisk assessmentunstructured dataclinical decision support
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.