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September 28, 2025City HealthcareOpen Access

Issues of Smart Services for Assessing Health of the Population

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Authors

ВАВ. Э. Андрусов

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Overview

This analysis highlights how predictive analytics and AI can transform population health management, despite regulatory challenges.

Key Points

  • The introduction of AI in healthcare could improve population health management, but there are significant barriers.
  • Regulatory hurdles, high costs, and distrust among medical workers slow down AI integration into healthcare in Russia.
  • Using SWOT analysis reveals both the potential benefits and the risks associated with implementing AI in health management.
  • Global trends indicate increased investment in AI for healthcare, emphasizing the need for interdisciplinary approaches and cybersecurity.

Cite This Study

В. Э. Андрусов (2025) studied this question.

synapsesocial.com/papers/68d90a0a41e1c178a14f6587https://doi.org/10.47619/2713-2617.zm.2025.v.6i3;100-108
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Regional Experience of Using Artificial Intelligence Services in the Healthcare Sector of the Russian Federation in 20232024
  2. 2Implementation of artificial intelligence technologies in healthcare in Russia: results of 20242025 · 7 citations
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  4. 4Artificial intelligence technologies in the activities of primary healthcare in Moscow2024
  5. 5International Experience in Legal Regulation of the Use of Artificial Intelligence in Healthcare in BRICS Countries2026 · 1 citations