Determining a Clinically Applicable Cutoff in AI Algorithms for Predicting Clinical Deterioration: A Workload-Constrained, Alarm-Based Approach.
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| Title: | Determining a Clinically Applicable Cutoff in AI Algorithms for Predicting Clinical Deterioration: A Workload-Constrained, Alarm-Based Approach. |
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| Authors: | Jang J; AITRICS Corp, Seoul 06221, Republic of Korea., Choi YJ; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 04763, Republic of Korea., Sim T; AITRICS Corp, Seoul 06221, Republic of Korea.; AITRICS Inc., McLean, VA 22102, USA., Lee KB; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University Medical Center, Chuncheon 24253, Republic of Korea., Kim JH; AITRICS Corp, Seoul 06221, Republic of Korea., Cho EY; AITRICS Corp, Seoul 06221, Republic of Korea., Choi Y; AITRICS Corp, Seoul 06221, Republic of Korea., Hong S; AITRICS Corp, Seoul 06221, Republic of Korea., Jung BM; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 04763, Republic of Korea., Kim SJ; Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Republic of Korea., Hong WG; Department of Hospital Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Republic of Korea., Cho JH; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 04763, Republic of Korea. |
| Source: | Journal of clinical medicine [J Clin Med] 2026 Jul 22; Vol. 15 (14). Date of Electronic Publication: 2026 Jul 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101606588 Publication Model: Electronic Cited Medium: Print ISSN: 2077-0383 (Print) Linking ISSN: 20770383 NLM ISO Abbreviation: J Clin Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2077-0383 |
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| DOI: | 10.3390/jcm15145753 |
