Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine.
Am J Bioeth
; 23(9): 43-54, 2023 09.
Article
em En
| MEDLINE
| ID: mdl-36507873
ABSTRACT
Big data and AI have enabled digital simulation for prediction of future health states or behaviors of specific individuals, populations or humans in general. "Digital simulacra" use multimodal datasets to develop computational models that are virtual representations of people or groups, generating predictions of how systems evolve and react to interventions over time. These include digital twins and virtual patients for in silico clinical trials, both of which seek to transform research and health care by speeding innovation and bridging the epistemic gap between population-based research findings and their application to the individual. Nevertheless, digital simulacra mark a major milestone on a trajectory to embrace the epistemic culture of data science and a potential abandonment of medical epistemological concepts of causality and representation. In doing so, "data first" approaches potentially shift moral attention from actual patients and principles, such as equity, to simulated patients and patient data.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Simulação por Computador
/
Inteligência Artificial
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Am J Bioeth
Assunto da revista:
ETICA
Ano de publicação:
2023
Tipo de documento:
Article