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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.

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Title: AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.
Authors: Lin TH; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Chung HY; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Jian MJ; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Chang CK; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Lin HH; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Yen CT; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Tang SH; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Pan PC; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Perng CL; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Chang FY; Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Chen CW; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan., Shang HS; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Jan 24; Vol. 27, pp. e56155. Date of Electronic Publication: 2025 Jan 24.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.
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  Data: <searchLink fieldCode="AU" term="%22Lin+TH%22">Lin TH</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chung+HY%22">Chung HY</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Jian+MJ%22">Jian MJ</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang+CK%22">Chang CK</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+HH%22">Lin HH</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yen+CT%22">Yen CT</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Tang+SH%22">Tang SH</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Pan+PC%22">Pan PC</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Perng+CL%22">Perng CL</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang+FY%22">Chang FY</searchLink>; Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+CW%22">Chen CW</searchLink>; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Shang+HS%22">Shang HS</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22100959882%22">Journal of medical Internet research</searchLink> [J Med Internet Res] 2025 Jan 24; Vol. 27, pp. e56155. <i>Date of Electronic Publication: </i>2025 Jan 24.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>100959882 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-8871 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214388871%22">14388871 </searchLink><i>NLM ISO Abbreviation: </i>J Med Internet Res <i>Subsets: </i>MEDLINE
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        Value: 10.2196/56155
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              Text: 2025 Jan 24
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