1. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. https://doi.org/10.1038/s41591-018-0300-7
2. Abdulnour R-EE, Gin B, Boscardin CK. Educational strategies for clinical supervision of artificial intelligence use. N Engl J Med. 2025;393(8):786-97. https://doi.org/10.1056/NEJMra2503232
3. Rajpurkar P, Lungren MP. The current and future state of AI interpretation of medical images. N Engl J Med. 2023;388(21):1981-90. https://doi.org/10.1056/NEJMra2301725
4. Rajpurkar P, Chen E, Banerjee O, Topol EJ. AI in health and medicine. Nat Med. 2022;28(1):31-38. https://doi.org/10.1038/s41591-021-01614-0
5. Esmaeilzadeh P. Challenges and strategies for wide-scale artificial intelligence deployment in healthcare practices. Artif Intell Med. 2024;151:102861. https://doi.org/10.1016/j.artmed.2024.102861
6. Parikh RB, Helmchen LA. Paying for artificial intelligence in medicine. NPJ Digit Med. 2022;5(1):63. https://doi.org/10.1038/s41746-022-00609-6
7. Yepes-Barreto I, Martínez L, Girala M, Sánchez-Santos R, Graz F, Restrepo JC, et al. Barreras y oportunidades para la investigación en inteligencia artificial aplicada a la salud en América Latina. Hepatología. 2026;7(1):32-43. https://doi.org/10.59093/27112330.164

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