ArticleArquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery2026
Prompt engineering in medical education. Dissecting the new technological frontier in Digestive Surgery.
Article in Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
3 authors.
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Abstract
Generative Artificial Intelligence (AI) has become a tangible reality in medical education, yet many struggle to interact effectively with these models. This editorial introduces Prompt Engineering as the modern "digital stethoscope"-a systematic approach to maximize AI potential. A structured prompt relies on four pillars (Context, Request, Persona, Format) and advances through four levels of complexity. Strategies like instructing the AI to "think step by step" mitigate logical errors in clinical tasks. However, users must remain vigilant against AI "hallucinations" and phantom citations by using verified databases. Ultimately, while AI processes vast data, human clinical judgment remains the irreplaceable filter for patient safety.
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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.