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

Year: 2024

Type: article

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.

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2024.v06i06.31020

Author: Bhanu Prakash Manjappasetty Ma -

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4413434936

FWCI: 0.152

Cites: 5

Cited by: 1

Related to: 10