students’ perspectives and experiences on artificial intelligence in health professions education: a qualitative study

Background: as artificial intelligence (ai) becomes more integrated into healthcare and education, the health sciences education literature is said to be sparse regarding how undergraduate health sciences students perceive ai in medical education. the purpose of this research is to explore the perceptions, emotional reactions, and experiences of undergraduate students in a variety of health disciplines on the use of ai in medical education.methods: a phenomenological study using semi-structured interviews was carried out with 16 students from seven health-related disciplines at zanjan university of medical sciences. data were analyzed by thematic analysis following the braun and clarke framework.results: five major themes and fifteen subthemes surfaced: 1) conceptual understanding and cognitive framing: students showed limited technical understanding and awareness of safety and ethical issues; 2) emotional landscape: students’ emotions ranged from excitement to anxiety and ambiguity; 3) patterns of interaction: students frequently utilized ai tools for writing and learning, and there was clear evidence of ethical misuse in their responses; 4) perceived educational and clinical value: ai was seen by students as valuable when supporting research, supporting clinical decision making, and in telemedicine; 5) ethical and institutional dimensions: these included loss of empathy, unclear boundaries of responsibility, and the need for formal curriculum integration.      conclusion: students are eager to adopt ai, but lack formal knowledge of its ethical and clinical implications. curricular reforms should incorporate ai literacy, critical appraisal, and safe practice guidelines. tailored, interdisciplinary education is essential to prepare future health professionals to work responsibly with ai.