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August 17, 2025Deleted JournalOpen Access

Applications of Artificial Intelligence to Medical Infrastructure in Rural Asian Medical Centers

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Authors

MIMd. Mafiqul IslamJKJonathan Kenigson

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Overview

Mixed-methods analysis reveals AI enhances diagnostics in rural healthcare, indicating systemic challenges persist.

Key Points

  • AI-assisted diagnostics improved screening for tuberculosis, reducing misdiagnosis rates by 32%, yielding significant healthcare implications.
  • 78% of surveyed clinics faced unreliable electricity and 65% lacked stable internet, hindering AI adoption in rural settings.
  • Mixed-methods approach included surveys across 200 clinics, pilot AI projects, and stakeholder interviews, showcasing the complexities of integration.
  • The study highlights the need for investments in infrastructure and training to fully leverage AI's potential in rural healthcare.

Cite This Study

Islam et al. (2025) studied this question.

synapsesocial.com/papers/68af76ad7567bf4f94fef367https://doi.org/10.60087/jaigs.v8i02.403
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  5. 5Application of Artificial Intelligence in Medical Diagnostics: Applications and Implications in the Healthcare Sector2025