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title: "Caso 1. Artículos del paquete: referencias y licencias"
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Los diez artículos de la carpeta «Caso 1» se reparten completos y sin cambios, tal como los publicó cada revista, con licencia abierta. Cada PDF lleva su propia atribución. La licencia de esta lista es la que consta en el propio PDF.

Tres tienen licencia «sin obras derivadas» (NC-ND): Asgari, Etagiuri y Scott. En el taller no se copian figuras ni tablas de ningún artículo: se resume con palabras propias y se cita autor, año y página.

- **Busch_2025_CommunMed.pdf.** CC BY 4.0. Busch F, Hoffmann L, Rueger C, et al. Current applications and challenges in large language models for patient care: a systematic review. Commun Med 2025;5:26. https://doi.org/10.1038/s43856-024-00717-2
- **Scott_2025_MedJAust.pdf.** CC BY-NC-ND. Scott IA, Reddy S, Kelly T, et al. Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation. Med J Aust 2025;223(11):664–672. https://doi.org/10.5694/mja2.70057
- **Asgari_2025_npjDigitMed.pdf.** CC BY-NC-ND 4.0. Asgari E, Montaña-Brown N, Dubois M, et al. A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation. NPJ Digit Med 2025;8:274. https://doi.org/10.1038/s41746-025-01670-7
- **Reddy_2026_LancetDigitHealth.pdf.** CC BY 4.0. Reddy A, Zhu DT, Khan K, Celi LA. Deception in clinical large language models: an under-recognised safety risk. Lancet Digit Health 2026 (publicación en línea previa al número). https://doi.org/10.1016/j.landig.2026.101043
- **Hager_2024_NatMed.pdf.** CC BY 4.0. Hager P, Jungmann F, Holland R, et al. Evaluation and mitigation of the limitations of large language models in clinical decision-making. Nat Med 2024;30:2613–2622. https://doi.org/10.1038/s41591-024-03097-1
- **Goh_2024_JAMANetwOpen.pdf.** CC BY. Goh E, Gallo R, Hom J, et al. Large language model influence on diagnostic reasoning: a randomized clinical trial. JAMA Netw Open 2024;7(10):e2440969. https://doi.org/10.1001/jamanetworkopen.2024.40969
- **Spitzer_2026_npjDigitMed.pdf.** CC BY 4.0. Spitzer P, Hendriks D, Rudolph J, et al. The effect of medical explanations from large language models on diagnostic accuracy in radiology. NPJ Digit Med 2026;9:333. https://doi.org/10.1038/s41746-026-02619-0
- **Agweyu_2026_NatMed.pdf.** CC BY 4.0. Agweyu A, Mwaniki P, Menon V, et al. Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial. Nat Med 2026;32:3032–3039. https://doi.org/10.1038/s41591-026-04503-6
- **Etagiuri_2026_JArthroplasty.pdf.** CC BY-NC-ND 4.0. Etagiuri A, Chaudhry D, van der Merwe J, et al. Evaluating the impact of artificial intelligence scribes on clinical workflow and documentation quality: a randomized controlled trial. J Arthroplasty 2026 (publicación en línea previa al número). https://doi.org/10.1016/j.arth.2026.03.069
- **Cao_2026_JMedInternetRes.pdf.** CC BY 4.0. Cao W, Zhang Q, Liu J, Liu S. From agents to governance: essential AI skills for clinicians in the large language model era. J Med Internet Res 2026;28:e86550. https://doi.org/10.2196/86550