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@article{178901,
        author = {Dr. V. Sujay and Pavan Kumar Choudari and Venkatesh Inamanamelluru and Veeresh Korava and Harsha Vardhan Annam},
        title = {HealthCare Chatbot & Medicine Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6869-6874},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178901},
        abstract = {The integration of artificial intelligence (AI) in healthcare has led to the development of innovative tools such as healthcare chatbot and medical recommendation systems. These technologies aim to improve patient outcomes, enhance accessibility, and streamline healthcare delivery. Healthcare chatbot are AI-driven conversational agents designed to assist patients with symptom assessment, appointment scheduling, medication reminders, and basic health advice. Medical recommendation systems employ data-driven methods to present individualized treatment recommendations, medication regimens, and diagnostic information from patient history and clinical guidelines. The union of these systems creates a better healthcare infrastructure by minimizing the burden on medical professionals and enabling patients to take control of their health. Nevertheless, issues like data privacy, ethical concerns, and the requirement for strict validation remain key to their adoption. This article discusses the architecture, applications, advantages, and disadvantages of healthcare chatbot and medical recommendation systems, highlighting their potential to transform contemporary medicine.},
        keywords = {healthcare chatbot, medical recommendation system, artificial intelligence, personalized medicine, patient engagement, data privacy, clinical decision support, digital health.},
        month = {May},
        }