AI-Enabled Healthcare Chatbots for Personalized Patient Interaction
Keywords:
Healthcare, Chatbots, Artificial Intelligence, Patient Interaction, Personalized Care, TechnologyAbstract
Healthcare systems are increasingly turning to artificial intelligence (AI) to enhance patient care and improve operational efficiency. One area of AI application is the development of healthcare chatbots, which are capable of engaging in personalized interactions with patients. This study explores the development and implementation of AI-enabled healthcare chatbots for personalized patient interaction. We discuss the underlying technologies, benefits, challenges, and future prospects of AI-powered chatbots in healthcare. By analyzing current trends and case studies, we aim to provide insights into the potential of AI-enabled chatbots to transform patient engagement and healthcare delivery.
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References
Pillai, Aravind Sasidharan. "A Natural Language Processing Approach to Grouping Students by Shared Interests." Journal of Empirical Social Science Studies 6.1 (2022): 1-16.
Venigandla, Kamala. "Integrating RPA with AI and ML for Enhanced Diagnostic Accuracy in Healthcare." Power System Technology 46.4 (2022).
Nalluri, Mounika, et al. "MACHINE LEARNING AND IMMERSIVE TECHNOLOGIES FOR USER-CENTERED DIGITAL HEALTHCARE INNOVATION." Pakistan Heart Journal 57.1 (2024): 61-68.
Rao, Deepak, and Sourabh Sharma. "Secure and Ethical Innovations: Patenting Ai Models for Precision Medicine, Personalized Treatment, and Drug Discovery in Healthcare." International Journal of Business Management and Visuals, ISSN: 3006-2705 6.2 (2023): 1-8.
Li, Xiaying, Belle Li, and Su-Je Cho. "Empowering Chinese Language Learners from Low-Income Families to Improve Their Chinese Writing with ChatGPT’s Assistance Afterschool." Languages 8.4 (2023): 238.
Pulimamidi, Rahul. "Leveraging IoT Devices for Improved Healthcare Accessibility in Remote Areas: An Exploration of Emerging Trends." Internet of Things and Edge Computing Journal 2.1 (2022): 20-30.
Kolay, Srikanta, Kumar Sankar Ray, and Abhoy Chand Mondal. "K+ means: An enhancement over k-means clustering algorithm." arXiv preprint arXiv:1706.02949 (2017).
Alghayadh, Faisal Yousef, et al. "Ubiquitous learning models for 5G communication network utility maximization through utility-based service function chain deployment." Computers in Human Behavior (2024): 108227.
Khan, Murad, et al. "AI-POWERED HEALTHCARE REVOLUTION: AN EXTENSIVE EXAMINATION OF INNOVATIVE METHODS IN CANCER TREATMENT." BULLET: Jurnal Multidisiplin Ilmu 3.1 (2024): 87-98.
Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
Raparthi, Mohan, et al. "Data Science in Healthcare Leveraging AI for Predictive Analytics and Personalized Patient Care." Journal of AI in Healthcare and Medicine 2.2 (2022): 1-11.
Reddy, Surendranadha Reddy Byrapu. "Enhancing Customer Experience through AI-Powered Marketing Automation: Strategies and Best Practices for Industry 4.0." Journal of Artificial Intelligence Research 2.1 (2022): 36-46.
