Advances and utility of digital twins in critical care and acute care medicine: a narrative review
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 computat...
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| Format: | Article |
| Language: | English |
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Yeungnam University College of Medicine, Yeungnam University Institute Medical Science
2025-01-01
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| Series: | Journal of Yeungnam Medical Science |
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| Online Access: | http://www.e-jyms.org/upload/pdf/jyms-2024-01053.pdf |
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| author | Gabriele A. Halpern Marko Nemet Diksha M. Gowda Oguz Kilickaya Amos Lal |
| author_facet | Gabriele A. Halpern Marko Nemet Diksha M. Gowda Oguz Kilickaya Amos Lal |
| author_sort | Gabriele A. Halpern |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-62c62a1cec174f0ba1068afa25e89732 |
| institution | Kabale University |
| issn | 2799-8010 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Yeungnam University College of Medicine, Yeungnam University Institute Medical Science |
| record_format | Article |
| series | Journal of Yeungnam Medical Science |
| spelling | doaj-art-62c62a1cec174f0ba1068afa25e897322025-02-11T06:26:37ZengYeungnam University College of Medicine, Yeungnam University Institute Medical ScienceJournal of Yeungnam Medical Science2799-80102025-01-014210.12701/jyms.2024.010532867Advances and utility of digital twins in critical care and acute care medicine: a narrative reviewGabriele A. Halpern0Marko Nemet1Diksha M. Gowda2Oguz Kilickaya3Amos Lal4 Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USAArtificial 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.http://www.e-jyms.org/upload/pdf/jyms-2024-01053.pdfartificial intelligencecritical caredigital twinhealthcare |
| spellingShingle | Gabriele A. Halpern Marko Nemet Diksha M. Gowda Oguz Kilickaya Amos Lal Advances and utility of digital twins in critical care and acute care medicine: a narrative review Journal of Yeungnam Medical Science artificial intelligence critical care digital twin healthcare |
| title | Advances and utility of digital twins in critical care and acute care medicine: a narrative review |
| title_full | Advances and utility of digital twins in critical care and acute care medicine: a narrative review |
| title_fullStr | Advances and utility of digital twins in critical care and acute care medicine: a narrative review |
| title_full_unstemmed | Advances and utility of digital twins in critical care and acute care medicine: a narrative review |
| title_short | Advances and utility of digital twins in critical care and acute care medicine: a narrative review |
| title_sort | advances and utility of digital twins in critical care and acute care medicine a narrative review |
| topic | artificial intelligence critical care digital twin healthcare |
| url | http://www.e-jyms.org/upload/pdf/jyms-2024-01053.pdf |
| work_keys_str_mv | AT gabrieleahalpern advancesandutilityofdigitaltwinsincriticalcareandacutecaremedicineanarrativereview AT markonemet advancesandutilityofdigitaltwinsincriticalcareandacutecaremedicineanarrativereview AT dikshamgowda advancesandutilityofdigitaltwinsincriticalcareandacutecaremedicineanarrativereview AT oguzkilickaya advancesandutilityofdigitaltwinsincriticalcareandacutecaremedicineanarrativereview AT amoslal advancesandutilityofdigitaltwinsincriticalcareandacutecaremedicineanarrativereview |