A Pan-Organ Vision-Language Model for Generalizable 3D CT Representations.

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Bibliographic Details
Title: A Pan-Organ Vision-Language Model for Generalizable 3D CT Representations.
Authors: Beeche C; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.; Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA., Kim J; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA., Tavolinejad H; Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.; University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, Philadelphia, PA, 19104, USA., Zhao B; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, 19104, USA., Sharma R; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA., Duda J; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Gee J; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Dako F; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Verma A; Department of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.; Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA., Morse C; Department of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.; Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA., Hou B; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA., Shen L; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA., Sagreiya H; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Davatzikos C; AI2D Center for AI and Data Science, University of Pennsylvania, Philadelphia, USA., Damrauer S; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; Department of Surgery, Division of Vascular Surgery and Endovascular Therapy, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.; Department of Surgery, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, USA., Ritchie MD; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA., Rader D; Department of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.; Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA., Long Q; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA., Chen T; Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA., Kahn CE Jr; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA., Chirinos J; Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.; University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, Philadelphia, PA, 19104, USA., Witschey WR; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Corporate Authors: Penn Medicine Biobank
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2025 Jul 03. Date of Electronic Publication: 2025 Jul 03.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.1101/2025.07.03.25330654