Cargando…
Artificial intelligence performance in detecting tumor metastasis from medical radiology imaging: A systematic review and meta-analysis
BACKGROUND: Early diagnosis of tumor metastasis is crucial for clinical treatment. Artificial intelligence (AI) has shown great promise in the field of medicine. We therefore aimed to evaluate the diagnostic accuracy of AI algorithms in detecting tumor metastasis using medical radiology imaging. MET...
Autores principales: | Zheng, Qiuhan, Yang, Le, Zeng, Bin, Li, Jiahao, Guo, Kaixin, Liang, Yujie, Liao, Guiqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773591/ https://www.ncbi.nlm.nih.gov/pubmed/33392486 http://dx.doi.org/10.1016/j.eclinm.2020.100669 |
Ejemplares similares
-
Artificial intelligence in radiology
por: Jin, Dakai, et al.
Publicado: (2021) -
Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
por: Alsultan, Kamal
Publicado: (2023) -
Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging
por: Najjar, Reabal
Publicado: (2023) -
Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?
por: Bin Dahmash, Abdulmajeed, et al.
Publicado: (2020) -
ChatGPT in Radiology: The Advantages and Limitations of Artificial Intelligence for Medical Imaging Diagnosis
por: Srivastav, Samriddhi, et al.
Publicado: (2023)