Transforming Healthcare with Artificial Intelligence and Machine Learning in Elderly Caregiving
Date
2-18-2025
Faculty Mentor
Arup Ghosh, Mathematics, Computing, and Information Science
Files
Submission Type
Conference Proceeding
Location
4:45-4:55 pm | Houston Cole Library, 11th Floor
Description
Please note: no video is available for this presentation.
The increasing global elderly population necessitates efficient, personalized, and accessible healthcare solutions. Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing elderly caregiving by enhancing disease diagnostics, treatment planning, remote monitoring, and health record management. These technologies improve healthcare efficiency, empower seniors, and support caregivers and medical professionals in delivering high-quality care.
However, the widespread adoption of AI in elderly healthcare faces significant challenges, including data privacy concerns, limited digital literacy among seniors, and the opaque nature of AI-driven decision-making. Addressing these barriers requires enhanced AI transparency, stronger privacy safeguards, and user-friendly interfaces to ensure that AI-powered healthcare remains trustworthy and accessible.
This review explores strategies to optimize AI’s role in elderly care, emphasizing the importance of a balanced AI-human caregiving model. By integrating AI as a supportive tool rather than a replacement, healthcare systems can maintain both technological precision and human empathy. The findings suggest that with responsible implementation and continued innovation, AI can reshape elderly caregiving—enhancing healthcare outcomes while preserving the ethical and compassionate aspects of senior care.
Keywords
student research, computing
Rights
This content is the property of Jacksonville State University and is intended for non-commercial use. Video and images may be copied for personal use, research, teaching or any "fair use" as defined by copyright law. Users are asked to acknowledge Jacksonville State University. For more information, please contact digitalcommons@jsu.edu.
Disciplines
Computer Sciences
Recommended Citation
Shrestha, Stutika Thapa, "Transforming Healthcare with Artificial Intelligence and Machine Learning in Elderly Caregiving" (2025). JSU Student Symposium 2025. 11.
https://digitalcommons.jsu.edu/ce_jsustudentsymp_2025/11
