ArticleJournal of medical ethics and history of medicine2025
Philosophy of medicine meets AI hallucination and AI drift: moving toward a more gentle medicine.
Article in Journal of medical ethics and history of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- The potential of artificial intelligence in clinical trials.European journal of clinical investigation · 2026Review
- Evaluation framework for assessing the quality and safety of artificial intelligence solutions for the acute care surgeon: a narrative review from the Eastern Association for the Surgery of Trauma quality, safety, and outcomes committee.Trauma surgery & acute care open · 2026Review
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 contemporary world is profoundly shaped by technological progress. Among the advancements of our era is the proliferation of artificial intelligence (AI). AI has permeated every facet of human knowledge, including medicine. One domain of AI development is the application of large language models (LLMs) in health-care settings. While these applications hold immense promise, they are not without challenges. Two notable phenomena, AI hallucination and AI drift, pose setbacks. AI hallucination refers to the generation of erroneous information by AI systems, while AI drift is the production of multiple responses to a single query. The emergence of these challenges underscores the crucial role of the philosophy of medicine. By reminding practitioners of the inherent uncertainty that underpins medical interventions, the philosophy of medicine fosters a more receptive stance toward these technological advancements. Furthermore, by acknowledging the inherent fallibility of these technologies, the philosophy of medicine reinforces the importance of gentle medicine and humility in clinical practice. Physicians must not shy away from embracing AI tools due to their imperfections. Acknowledgment of uncertainty fosters a more accepting attitude toward AI tools among physicians, and by constantly highlighting the imperfections, the philosophy of medicine cultivates a deeper sense of humility among practitioners. It is imperative that experts in the philosophy of medicine engage in thoughtful deliberation to ensure that these powerful technologies are harnessed responsibly and ethically, preventing the reins of medical decision-making from falling into the hands of those without the requisite expertise and ethical grounding.
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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.