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September 10, 2025European Modern Studies Journal

AI-Assisted Health Awareness Platforms: Transforming Public Health Through Mobile Technology

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NVNageswara Rao Vudathala

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Implication

Observational analysis shows mobile technology improves health monitoring in patients, highlighting challenges in privacy protection and algorithmic bias.

Key Points

Mobile health monitoring significantly reduces risks of chronic diseases, enabling timely intervention and treatment.
Machine learning algorithms identify health risk patterns, helping healthcare providers address issues often unnoticed during brief visits.
Privacy protection poses significant challenges due to sensitive medical information and conflicting international regulations.
Addressing algorithmic bias is essential for ensuring equitable healthcare access among diverse populations, supporting public health.

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Nageswara Rao Vudathala (2025) studied this question.

synapsesocial.com/papers/68c1aad354b1d3bfb60e3b66 https://doi.org/10.59573/emsj.9(3).2025.37

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Implication

Observational analysis shows mobile technology improves health monitoring in patients, highlighting challenges in privacy protection and algorithmic bias.

AI-Assisted Health Awareness Platforms: Transforming Public Health Through Mobile Technology

Discussion

Member takes

Implication

Key Points

Cite This Study

AI-Assisted Health Awareness Platforms: Transforming Public Health Through Mobile Technology

Discussion

Member takes

Implication

Key Points

Cite This Study

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