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from algorithms to empathy: exploring chatbots as tools for medical student training
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نویسنده
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karimian zahra ,ghaznavi farzaneh
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منبع
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interdisciplinary journal of virtual learning in medical sciences - 2025 - دوره : 16 - شماره : 3 - صفحه:323 -326
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چکیده
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This commentary examines the emerging role of conversational chatbots in medical education, particularly in terms of educating learners in empathy. empathy is a key professional skill that impacts deeply both patient outcomes and patient satisfaction; yet, research indicates that its acquisition may decline in clinical training. chatbots, as artificial intelligence (ai)-driven relational agents, offer safe and repeatable scenarios for practicing empathic communication, providing immediate feedback and opportunities for reflection without risk to real patients. however, their ability to manifest real empathy remains limited, raising ethical doubts about superficial learning. other issues include cultural versatility, linguistic differences, and equal access to technology. through a critical review of current literature and burgeoning evidence, this commentary highlights both potential benefits and limitations of chatbots as educational tools. the commentary advocates a systematic, evidence-based integration into medical curricula as a means of reinforcing traditional training while also protecting the inherent human aspect of empathy in care.
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کلیدواژه
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generative artificial intelligence ,chatbot ,medical ,education ,empathy ,patient simulation
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آدرس
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shiraz university of medical sciences, virtual school and center of excellence in e-learning, department of e-learning in medical sciences, iran, edith cowan university, social ageing (sage) futures lab, australia
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پست الکترونیکی
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fghaznav@our.ecu.edu.au
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Authors
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