CT image-based biomarkers acquired by AI-based algorithms for the opportunistic prediction of falls

OBJECTIVE: Evaluate whether biomarkers measured by automated artificial intelligence (AI)-based algorithms are suggestive of future fall risk. METHODS: In this retrospective age- and sex-matched case–control study, 9029 total patients underwent initial abdominal CT for a variety of indications over...

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Detalles Bibliográficos
Autores principales: Liu, Daniel, Binkley, Neil C, Perez, Alberto, Garrett, John W, Zea, Ryan, Summers, Ronald M, Pickhardt, Perry J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636337/
https://www.ncbi.nlm.nih.gov/pubmed/37953870
http://dx.doi.org/10.1259/bjro.20230014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636337/
https://www.ncbi.nlm.nih.gov/pubmed/37953870
http://dx.doi.org/10.1259/bjro.20230014

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