Observational analysis finds improved diagnostic support in remote rural clinics, suggesting AI may bridge healthcare gaps.
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.
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Vidyalekshmi Chandrika (2025) studied this question.
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