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Case Study 4.3

Customer Experience in Explainable AI for Elderly Patients: Post-Pandemic Lessons

20
Pages
Chicago
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~ 21–31 mins
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Data Privacy Logistics Public Policy
Abstract

This case study investigates “Customer Experience in Explainable AI for Elderly Patients: Post-Pandemic Lessons” using a panel regression with fixed effects. Through a institutional lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Customer Experience in Explainable AI for Elderly Patients: Post-Pandemic Lessons

ABSTRACT
Customer Experience in Explainable AI for Elderly Patients: Post-Pandemic Lessons is unpacked across themes: security, benefits, ethics, and risks. Limitations and future research paths are noted.
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