Abstract
The integration of artificial intelligence (AI) through virtual assistants and chatbots is transforming oncology care by providing continuous, personalized, and accessible support. This study aims to evaluate the role of AI-powered tools in improving patient engagement, symptom management, emotional support, and treatment adherence in oncology. A qualitative methodology was employed, which included an extensive review of peer-reviewed literature from 2015 to 2023 and the development of a conceptual framework for oncology-specific chatbot systems. This framework incorporates natural language processing, machine learning, and personalized response algorithms. Key findings from this study indicate that these AI tools enhance access to healthcare information, empower patients, and reduce the burden on healthcare systems, particularly in remote or underserved regions. However, challenges remain concerning data privacy, accuracy, and the need for human intervention in complex cases. The study underscores the importance of maintaining a balance between innovative AI applications and human-centered care, advocating the integration of AI-based technologies as complementary tools in oncology.
Published Version
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