eXplainable Artificial Intelligence (XAI) in aging clock models.
Ageing Res Rev
; 93: 102144, 2024 Jan.
Article
en En
| MEDLINE
| ID: mdl-38030090
ABSTRACT
XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of complex models. XAI is especially required in sensitive applications, e.g. in health care, when diagnosis, recommendations and treatment choices might rely on the decisions made by artificial intelligence systems. AI approaches have become widely used in aging research as well, in particular, in developing biological clock models and identifying biomarkers of aging and age-related diseases. However, the potential of XAI here awaits to be fully appreciated. We discuss the application of XAI for developing the "aging clocks" and present a comprehensive analysis of the literature categorized by the focus on particular physiological systems.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Aprendizaje Automático
Límite:
Humans
Idioma:
En
Revista:
Ageing Res Rev
Asunto de la revista:
GERIATRIA
Año:
2024
Tipo del documento:
Article