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Rural populations experience a disproportionate burden of Chronic Obstructive Pulmonary Disease (COPD), driven by geographic isolation, limited access to healthcare services, and workforce shortages that constrain patient education and continuity of care. This commentary examines the potential role of artificial intelligence (AI)-enabled chatbots as supplemental tools for delivering evidence-based education and reinforcing COPD self-management practices in rural contexts. These technologies should be positioned as adjuncts to, rather than replacements for, clinical care. To protect patient safety, chatbot functionality must be limited to reinforcing guideline-based information and supporting symptom recognition, without engaging in autonomous treatment decision-making. Evaluation of these technologies should extend beyond technical performance to include readability, cultural and linguistic appropriateness, and usability. Implementation efforts must also address rural digital constraints by prioritizing low-bandwidth accessibility and clearly defined escalation pathways to clinical care. For health education specialists, responsible integration of AI requires competencies in digital assessment, ethical communication, and oversight of implementation. When deployed with rigorous safeguards and evaluated using patient-centered criteria, AI-enabled chatbots may represent a scalable strategy to strengthen COPD self-management support and reduce rural health disparities.
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Stellefson et al. (2026) studied this question.
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