AI-enabled body composition biomarkers at post-mortem CT for enriching autopsy: analysis of a large decedent cohort.
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| Title: | AI-enabled body composition biomarkers at post-mortem CT for enriching autopsy: analysis of a large decedent cohort. |
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| 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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| ISSN: | 2366-0058 |
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| DOI: | 10.1007/s00261-025-04878-z |