Rural communities often face critical challenges in accessing timely and accurate healthcare due to a shortage of medical professionals, limited diagnostic infrastructure, and geographical barriers. This paper presents the design and implementation of an AI-assisted multi-disease diagnosis system tailored for remote rural clinics, enabling frontline health workers to provide preliminary diagnostic support with minimal training.The proposed system integrates machine learning algorithms and rule-based expert systems to analyze symptoms, vital signs, and optional inputs such as medical images
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Vidyalekshmi Chandrika (Thu,) studied this question.
www.synapsesocial.com/papers/68c1aac654b1d3bfb60e326b — DOI: https://doi.org/10.22214/ijraset.2025.73429
Vidyalekshmi Chandrika
International Journal for Research in Applied Science and Engineering Technology
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