Page 123 - EJMO-9-1
P. 123

Eurasian Journal of Medicine
                                                                                        and Oncology





                                        ORIGINAL RESEARCH ARTICLE
                                        Advancing oncology care with AI-powered

                                        virtual assistants and chatbots: A qualitative
                                        exploration of future potential and challenges



                                                               1
                                        Hemalatha Senthilmahesh * , Muthuvairavan Pillai Nagappan 2  ,
                                        Somavarapu N. C. Shekhar 3  , Anbarasa A. Pandian 1  ,
                                        Pullela S. V. V. S. R. Kumar 4  , and Ramesh Tumaati 5

                                        1 Department of Computer Science and Business Systems, Panimalar Engineering College, Chennai,
                                        Tamil Nadu, India
                                        2 Department of Computer Science and Business Systems, R.M.D. Engineering College, Tiruvallur,
                                        Tamil Nadu, India
                                        3 Department of Electronics and Communication Engineering, Sreenidhi Institute of Science and
                                        Technology, Hyderabad, Telangana, India
                                        4 Department of Computer Science and Engineering, Aditya University, Surampalem, Andhra Pradesh,
                                        India
                                        5 Department of Computer Science and Engineering, R.M.K. Engineering College, Chennai, Tamil
                                        Nadu, India


            *Corresponding author:
            Hemalatha Senthilmahesh
            (pithemalatha@gmail.com)    Abstract
            Citation: Senthilmahesh H,   The integration of artificial intelligence (AI) through virtual assistants and chatbots is
            Nagappan MP, Shekhar SNC,
            Pandian AA, Kumar PSVVSR,   transforming oncology care by providing continuous, personalized, and accessible
            Tumaati R Advancing oncology care   support.  This study aims to evaluate the role of AI-powered tools in improving
            with AI-powered virtual assistants   patient  engagement,  symptom management, emotional  support,  and treatment
            and chatbots: A qualitative
            exploration of future potential and   adherence in oncology. A qualitative methodology was employed, which included
            challenges. Eurasian J Med Oncol.   an extensive review of peer-reviewed literature from 2015 to 2023 and the
            2025;9(1):115-132.          development  of  a  conceptual  framework  for  oncology-specific  chatbot  systems.
            doi: 10.36922/ejmo.6251
                                        This framework incorporates natural language processing, machine learning, and
            Received: November 19, 2024  personalized response algorithms. Key findings from this study indicate that these
            1st revised: December 14, 2024  AI tools enhance access to healthcare information, empower patients, and reduce
                                        the burden on healthcare systems, particularly in remote or underserved regions.
            2nd revised: December 22, 2024
                                        However, challenges remain concerning data privacy, accuracy, and the need for
            Accepted: January 2, 2025   human intervention in complex cases. The study underscores the importance of
            Published online: January 21,   maintaining  a balance  between  innovative  AI  applications  and  human-centered
            2025                        care, advocating the integration of AI-based technologies as complementary tools
            Copyright: © 2025 Author(s).   in oncology.
            This is an Open-Access article
            distributed under the terms of the
            Creative Commons Attribution   Keywords: Artificial intelligence; Virtual assistants; Chatbots; Oncology care; Patient
            License, permitting distribution,   support; Personalized healthcare; AI in cancer care
            and reproduction in any medium,
            provided the original work is
            properly cited.
            Publisher’s Note: AccScience
            Publishing remains neutral with   1. Introduction
            regard to jurisdictional claims in
            published maps and institutional   Oncology is a specialized branch of medicine focused on the study, diagnosis, and
            affiliations.               treatment of cancer. It encompasses a variety of approaches aimed at addressing the


            Volume 9 Issue 1 (2025)                        115                              doi: 10.36922/ejmo.6251
   118   119   120   121   122   123   124   125   126   127   128