Ethical challenges and emerging regulatory frameworks on artificial intelligence in biomedicine

Authors

Keywords:

artificial intelligence, biomedical research, bioethics, military medicine

Abstract

Artificial intelligence (AI) has become a fundamental tool in biomedical research, offering advanced capabilities in diagnosis, data analysis, and personalized treatment. However, its rapid advancement raises crucial ethical questions regarding the delegation of sensitive decisions, algorithmic transparency, data privacy, and bias prevention. Organizations such as the WHO and the European Commission have published frameworks for an ethical and secure digital transformation. The Cuban Journal of Military Medicine, a pioneer in this field, requires authors to declare the ethical use of AI. For legitimate integration, ethics must encompass responsibility, fairness, constant human oversight, and ensure that AI complements, never replaces, clinical judgment.

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Author Biographies

Jenrry Alvarez Cruz, Universidad de Ciencias Médicas de las FAR. HMC "Dr. Luis Díaz Soto"

Doctor of Medical Sciences. First and Second Degree Specialist in Pediatrics. Assistant Researcher and Titular Professor. Deputy Editor of the Cuban Journal of Military Medicine. Diploma in Research Management. Head of the Pediatric Specialty at the "Dr. Luis Díaz Soto" Central Military Hospital.

Carlos Rafael Quevedo Fonseca, Universidad de Ciencias Médicas de las FAR. La Habana, Cuba.

Doctor en Ciencias Médicas. Profesor Titular. Director de la Revista Cubana de Medicina Militar.

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Published

2026-01-05

How to Cite

1.
Alvarez Cruz J, Quevedo Fonseca CR. Ethical challenges and emerging regulatory frameworks on artificial intelligence in biomedicine. Rev. cuba. med. mil [Internet]. 2026 Jan. 5 [cited 2026 Jan. 12];55(1):e026077238. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/77238

Issue

Vol. 55 No. 1 (2026): January - March (In progress)

Section

Editorial

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Copyright (c) 2026 Jenrry Alvarez Cruz, Carlos Rafael Quevedo Fonseca

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