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This study explores the transformative potential of AI-driven healthcare solutions in underserved areas with limited access to medical facilities and resources. The aim is to investigate how AI technologies can bridge the healthcare gap and improve healthcare delivery for populations facing geographical, infrastructural, and socioeconomic barriers. The study explores various AI applications, including telemedicine, diagnostics, predictive analytics, and remote patient monitoring, while addressing challenges such as connectivity, privacy, and cultural considerations. Through an examination of case studies and current initiatives, this study highlights the opportunities and limitations of implementing AI in remote healthcare settings and underscores the importance of ethical, cost-effective, and sustainable approaches.

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Artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery

  • 会议论文

  • 发表日期：

    2025年

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  • Anish Gupta,
  • Ruchika Gupta,
  • Puneet Kumar

摘要

This study explores the transformative potential of AI-driven healthcare solutions in underserved areas with limited access to medical facilities and resources. The aim is to investigate how AI technologies can bridge the healthcare gap and improve healthcare delivery for populations facing geographical, infrastructural, and socioeconomic barriers. The study explores various AI applications, including telemedicine, diagnostics, predictive analytics, and remote patient monitoring, while addressing challenges such as connectivity, privacy, and cultural considerations. Through an examination of case studies and current initiatives, this study highlights the opportunities and limitations of implementing AI in remote healthcare settings and underscores the importance of ethical, cost-effective, and sustainable approaches.