International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Enhancing Long-Term Care with Explainable AI: Improving Patient Outcomes, Caregiver Support, and Ethical Transparency

Author(s) Bhanu Prakash Manjappasetty Masagali
Country United States
Abstract This paper explores the potential impact of Explainable Artificial Intelligence (XAI) on long-term care (LTC), highlighting the value of transparent and interpretable AI in supporting clinical decision-making, enhancing patient trust, and improving the quality of care. With an aging global population, LTC facilities are increasingly adopting AI tools to manage patient health and operational efficiency. XAI can play a critical role by ensuring that predictions and recommendations are understandable and actionable for caregivers and clinicians, fostering trust, accountability, and ethical use of AI in patient care.
Keywords Explainable AI (XAI), Long-Term Care (LTC), Healthcare Decision-Making, Predictive Analytics in Healthcare, Patient Outcomes, Transparency in AI, AI in Elderly Care, Ethics in AI, Trust in AI, AI-Assisted Diagnosis, Caregiver Support, Patient-Centric AI Models, AI Interpretability, Human-AI Collaboration, Healthcare Personalization
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-19
Cite This Enhancing Long-Term Care with Explainable AI: Improving Patient Outcomes, Caregiver Support, and Ethical Transparency - Bhanu Prakash Manjappasetty Masagali - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31020
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.31020
Short DOI https://doi.org/

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