Advances and utility of digital twins in critical care and acute care medicine: a narrative review
- Author:
Gabriele A. HALPERN
1
;
Marko NEMET
;
Diksha M. GOWDA
;
Oguz KILICKAYA
;
Amos LAL
Author Information
- Publication Type:Review article
- From: Journal of Yeungnam Medical Science 2025;42(1):9-
- CountryRepublic of Korea
- Language:0
- Abstract: Artificial intelligence (AI) has shown promise for revolutionizing healthcare. This narrative review focuses on the evolving discussion of the utility of AI and clinical informatics in critical care and acute care medicine, specifically focusing on digital twin (DT) technology. The improved computational power and iterative validation of these intelligent tools have enhanced medical education, in silico research, and clinical decision support in critical care settings. Integrating DTs into critical care opens vast opportunities, but simultaneously poses complex challenges, from data safety and privacy concerns to potentially increasing healthcare disparities. In medicine, DTs can significantly improve the efficiency of critical care systems. Stakeholder investment is essential for successful implementation and integration of these technologies.
