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@article{187209,
        author = {Saksham Tiwari and Ansuman Harpal and Dr. Goldi Soni},
        title = {Study of Application of AI in Healthcare Marketing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {5552-5556},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187209},
        abstract = {Artificial Intelligence (AI) is reshaping healthcare marketing by introducing new levels of personalization, efficiency, and insight. Through tools powered by machine learning, predictive analytics, and natural language processing (NLP), marketers can now analyze vast amounts of health-related data to tailor content, engage patients, and optimize campaigns. AI enhances targeting precision, supports automated content creation, and facilitates real-time patient communication through intelligent chatbots. It also enables predictive modeling to anticipate patient needs and behaviors, thereby improving the overall marketing effectiveness.Despite these advantages, the integration of AI in healthcare marketing presents challenges such as data privacy concerns, ethical risks, implementation costs, and algorithmic bias. Nevertheless, the future of AI in this field appears highly promising. Emerging trends—such as hyper-personalization, voice search integration, and real-time analytics—are expected to revolutionize how healthcare organizations connect with and support patients, driving both engagement and sustainable business growth.},
        keywords = {Artificial Intelligence, Healthcare Marketing, Predictive Analytics, Personalization, Machine Learning, Chatbots, Big Data, Digital Healthcare},
        month = {November},
        }