Key points are not available for this paper at this time.
The articles in this special issue explore the intersections between artificial intelligence (AI) and qualitative health research at a moment of rapid technological expansion and heightened methodological debate. The contributions engage AI not as something to be adopted or rejected but as a focus of critical inquiry that raises epistemological, methodological, and ethical questions for qualitative scholars. Across diverse perspectives, the articles foreground reflexivity, methodological development, and responsible approaches to AI use in clinical settings. The special issue adopts a "big-tent" approach, bringing together varied perspectives that are often in tension, yet productively in conversation. Published amid an accelerating AI hype cycle and increasing institutional pressures to adopt technological solutions, this collection affirms qualitative health research as a vital space for critical dialogue and methodological innovation. The contributions collectively center the interpretive and value-based commitments that have long defined qualitative inquiry, engaging with AI critically and reflexively rather than on its own terms.
Báez et al. (Sun,) studied this question.