Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Artificial intelligence (AI)-powered health care chatbots are becoming essential instruments in revolutionizing the provision of healthcare services by providing patients and healthcare professionals with dependable and promising prompt support. Advanced natural language processing and machine learning techniques are used by these chatbots to optimize several healthcare functions, including communication between patients and providers, disease prediction, triage in emergency departments, and scheduling of appointments. These systems facilitate improved patient engagement, improved clinical workflows, and early detection of potential health concerns through seamless interactions. Although artificial intelligence technologies hold the power to transform entire industries, it is very challenging to integrate such systems into healthcare frameworks, especially given algorithmic bias, ethical concerns, and security issues related to data privacy. This paper attempts to explore both sides of healthcare chatbots that is, revolutionizing patient care and the current pressing need to ensure equitable and transparent artificial intelligence systems. This will critically evaluate the ethical implications of algorithmic decision-making, the risks involved in data misuse, and the challenges faced in sustaining user trust, providing a framework for equitable and efficient implementation
Keywords:
Artificial intelligence (AI) in health care, Patient-provider communication, Healthcare chat bots, AI driven patient engagement.
Cite Article:
"A Survey on Implementation of Medical Chatbots Using Artificial Intelligence and Machine Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a590-a594, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501072.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator