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@article{171814,
        author = {Dr. Sasidhar Babu Suvanam and Dr. Vijayalakshmi Yellepeddi and Venkata Sai Meghana and Dugasani Meghana and Venkata Kasi Vyshnavi and Kandra Vijaya and M Hrushikesh Reddy and John Bennet Johnson},
        title = {Application and Development of Artificial Intelligence for Diagnosing Acute Diseases in Villages and Smaller Towns},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1052-1058},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171814},
        abstract = {The provision of healthcare services in rural and smaller towns is a growing challenge, primarily due to the shortage of medical professionals and infrastructure. Existing telemedicine and AI-based solutions have struggled to scale in these areas, mainly because of internet dependency and the lack of offline support. This paper proposes an AI-based healthcare diagnostic system that addresses common acute diseases like cold, flu, and fever using natural language processing (NLP) and machine learning (ML). The system will operate in both online and offline modes, making it accessible in remote areas with poor connectivity. With an intuitive user interface supporting multiple local languages, the system aims to provide an accurate and cost-effective diagnostic tool for underserved populations.},
        keywords = {AI healthcare, acute disease diagnosis, rural healthcare, natural language processing, machine learning, offline AI, telemedicine, healthcare accessibility, decision trees, support vector machines.},
        month = {January},
        }