ArticleJMA journal2026
Artificial Intelligence as a Clinical Co-Pilot in Reminiscence Therapy: A Nurse-Led Model for Super-Aged Societies.
Article in JMA journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Japan's demographic landscape, characterized as a super-aged society, presents an urgent need for scalable psychosocial interventions for dementia and cognitive decline. Reminiscence therapy is an evidence-based non-pharmacological intervention; however, its implementation is often limited by workforce shortages and time constraints. This opinion paper proposes a paradigm shift: utilizing Artificial Intelligence (AI) not as a replacement for caregivers, but as a "clinical co-pilot" under nursing leadership. While generative AI and robotics offer transformative potential to personalize content and extend therapeutic reach, they also introduce risks such as algorithmic bias and "hallucinations" that could distress patients. We argue that successful integration requires a "Human-in-the-Loop" framework in which AI handles data synthesis and engagement monitoring, while healthcare professionals maintain oversight of clinical validity and emotional safety. This approach aims to harmonize technological efficiency with person-centered care, offering a sustainable model for geriatric medicine.
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