AI-enabled body composition biomarkers at post-mortem CT for enriching autopsy: analysis of a large decedent cohort.

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Bibliographic Details
Title: AI-enabled body composition biomarkers at post-mortem CT for enriching autopsy: analysis of a large decedent cohort.
Authors: Golden MV; Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave., Madison, Wisconsin, 53792, USA. mgolden3@wisc.edu., Lee MH; Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave., Madison, Wisconsin, 53792, USA., Garrett JW; Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave., Madison, Wisconsin, 53792, USA., Berry SD; Department of Biomedical Informatics, Western Michigan University, 1000 Oakland Dr., Kalamazoo, Michigan, 49008, USA., Appel N; Department of Anthropology, University of New Mexico, 1 University of New Mexico, Albuquerque, New Mexico, 87131, USA., Summers RM; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Maryland, Bethesda, USA., Edgar HJH; Department of Anthropology, University of New Mexico, 1 University of New Mexico, Albuquerque, New Mexico, 87131, USA., Pickhardt PJ; Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave., Madison, Wisconsin, 53792, USA. ppickhardt2@uwhealth.org.
Source: Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Oct; Vol. 50 (10), pp. 5047-5058. Date of Electronic Publication: 2025 Mar 18.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2366-0058
DOI:10.1007/s00261-025-04878-z