Cargando…
RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease
Digital health data used in diagnostics, patient care, and oncology research continue to accumulate exponentially. Most medical information, and particularly radiology results, are stored in free-text format, and the potential of these data remains untapped. In this study, a radiological repomics-dr...
Autores principales: | Zhang, Tianyu, Tan, Tao, Wang, Xin, Gao, Yuan, Han, Luyi, Balkenende, Luuk, D’Angelo, Anna, Bao, Lingyun, Horlings, Hugo M., Teuwen, Jonas, Beets-Tan, Regina G.H., Mann, Ritse M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439251/ https://www.ncbi.nlm.nih.gov/pubmed/37490915 http://dx.doi.org/10.1016/j.xcrm.2023.101131 |
Ejemplares similares
-
Predicting breast cancer types on and beyond molecular level in a multi-modal fashion
por: Zhang, Tianyu, et al.
Publicado: (2023) -
Multi-modal artificial intelligence for the combination of automated 3D breast ultrasound and mammograms in a population of women with predominantly dense breasts
por: Tan, Tao, et al.
Publicado: (2023) -
Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI
por: Samperna, Riccardo, et al.
Publicado: (2022) -
Optimal imaging staging of rectal cancer
por: Lambregts, Doenja M.J., et al.
Publicado: (2013) -
Factors affecting the value of diffusion-weighted imaging for identifying breast cancer patients with pathological complete response on neoadjuvant systemic therapy: a systematic review
por: van der Hoogt, Kay J. J., et al.
Publicado: (2021)