Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{197114,
        author = {Nithya R and Abarna M and Bilabinoy and Hairiya Begum A},
        title = {Al-Driven Public Health Chatbot for Disease Awareness},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5266-5274},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197114},
        abstract = {Chatbots that are being run with artificial intelligence (AI) have become a disruptive technology in health education among the people, as it is capable of providing disease awareness and health literacy improvement at an at least a scalable level. The current paper is a detailed review of AI public health chatbots that can be used to enhance disease awareness with the help of easily accessible health identification provided in a personalized fashion. This systematic review aims to discuss the technological structure, design processes, public health use cases, evidence of effectiveness, implementation issues, and future studies related to AI chatbots in DARPA. In this literature review, the synthesis of peer-reviewed databases occurred, which analyzed 41 studies on AI-enabled technologies in health education and paid a specific focus to chatbot-based interventions executed in different populations and diseases. The results prove that AI chatbots have high levels of effectiveness in enhancing health literacy, as the mean score of awareness enhancement is 2.95 ± 1.22 in case of its combination with e-learning modules. System notes The user satisfaction scores equal to 4.7 out of 5, showing great advancements in recognition and seeking of care. Domain-specific implementations reach accuracy of 73-94 per cent in health information delivery, whereas accessibility characteristics make it possible to serve underserved communities. AI-based chatbots in the field of public health are a scalable and evidence-based approach to disease awareness and preventive strategies. Nevertheless, the implementation demands detailed governance policies, man management systems, bias management policies, as well as equity-compatible design. These technologies can be used in great ways to promote public health communications and reinforce disease prevention strategies around the world with relevant safeguards and further development.},
        keywords = {Artificial intelligence, chatbots, disease awareness, public health, health literacy, natural language processing, conversational AI},
        month = {April},
        }