ArticleCureus2026
AI-Enabled Misconduct During Interviews and Its Possible Impact on Future Physicians' Critical Thinking.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The competition for highly desired residency training positions in certain medical specialties has become intense. Annually in the US, there are multiple instances of an inability of the National Residency Match Program (NRMP) to accommodate each medical student's desire for a seat in their residency of interest. Residency applicant interviews since the COVID-19 pandemic are virtual, initially for disease prevention, but now for cost savings (to both the institution and the applicants). This intense competition for positions has led to sophisticated measures by some applicants to manipulate the system by use of artificial intelligence robots (AI bots) during these virtual interviews. These AI bots gather information quickly in response to an interviewer's question and allow the applicant to seamlessly respond. Here, there is not only a consideration of cheating during the interview, but a question of whether such behavior will affect the critical thinking abilities of future physicians. Academic misbehavior through use of AI during a residency interview may portend dishonesty in a successful applicant's future medical practice. We present this commentary as a cautionary tale to those involved in the selection process regarding residency training slots.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.