Bioethics and simulations in artificial intelligence: decision-making in computational medicine

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DOI:

https://doi.org/10.58594/rtest.v6i3.238

Abstract

The dizzying integration of Artificial Intelligence applied to medicine has generated ethical challenges due to the lack of transparency of AI tools. The algorithmic and probabilistic nature on the scale of these problems requires quantitative approaches that allow evaluating the consequences of ethical decisions. The study analyzes a methodological framework based on computational simulations from the state of Quantitative Bioethics for the evaluation of bioethical dilemmas in the era of AI in medicine. A systematic review of scientific literature (2019-2024) was conducted in the databases PubMed, Scopus, Philosopher's Index, IEEE Xplore, and Google Scholar. Three critical domains are identified where Quantitative Bioethics is essential; it is revealed that agent-based simulations, multi-objective optimization models, and ethical impact analysis systems allow quantifying trade-offs between conflicting ethical principles and anticipating non-intuitive consequences of health policies. Quantitative Bioethics represents a necessary paradigm to address the complexity of ethical dilemmas generated by AI in medicine as a practical tool for healthcare institutions.

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Published

2026-09-01

How to Cite

Frutos-Morales, L. M., González-Alonso, M. C., & Rivero-Fernández, M. A. (2026). Bioethics and simulations in artificial intelligence: decision-making in computational medicine. Revista Transdiciplinaria De Estudios Sociales Y Tecnológicos, 6(3), 117–134. https://doi.org/10.58594/rtest.v6i3.238

Issue

Vol. 6 No. 3 (2026): Ciencia y sociedad ante los desafíos humanos, tecnológicos y ambientales del presente (Septiembre-diciembre)

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Copyright (c) 2026 Loraine María Frutos-Morales, María Caridad González-Alonso, Marisela Angelis Rivero-Fernández

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