Artificial intelligence-enabled clinical decision support systems in preadmission testing: a scoping review of risk prediction, triage, and perioperative workflows (2020-2025).
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| Title: | Artificial intelligence-enabled clinical decision support systems in preadmission testing: a scoping review of risk prediction, triage, and perioperative workflows (2020-2025). |
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| Authors: | Chinn LW; Department of Anesthesiology and Perioperative Medicine, Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA. chinnlw@njms.rutgers.edu., Nemeh I; Department of Anesthesiology and Perioperative Medicine, Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA., Chinn NR; Englewood Hospital and Medical Center, 350 Engle Street, Englewood, NJ, 07631, USA. |
| Source: | Journal of clinical monitoring and computing [J Clin Monit Comput] 2026 Apr; Vol. 40 (2), pp. 525-545. Date of Electronic Publication: 2026 Jan 31. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 9806357 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2614 (Electronic) Linking ISSN: 13871307 NLM ISO Abbreviation: J Clin Monit Comput Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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