Cargando…
A Review of Radiomics in Predicting Therapeutic Response in Colorectal Liver Metastases: From Traditional to Artificial Intelligence Techniques
An early evaluation of colorectal cancer liver metastasis (CRCLM) is crucial in determining treatment options that ultimately affect patient survival rates and outcomes. Radiomics (quantitative imaging features) have recently gained popularity in diagnostic and therapeutic strategies. Despite this,...
Autores principales: | Alshohoumi, Fatma, Al-Hamdani, Abdullah, Hedjam, Rachid, AlAbdulsalam, AbdulRahman, Al Zaabi, Adhari |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602631/ https://www.ncbi.nlm.nih.gov/pubmed/36292522 http://dx.doi.org/10.3390/healthcare10102075 |
Ejemplares similares
-
Are physicians and medical students ready for artificial intelligence applications in healthcare?
por: AlZaabi, Adhari, et al.
Publicado: (2023) -
Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future
por: Abdellatif, Hussein, et al.
Publicado: (2022) -
Assessing Nurses’ Knowledge and Attitudes towards Cancer Pain Management in Oman
por: Zaabi, Adhari Al, et al.
Publicado: (2023) -
Depression, Anxiety, and Stress Among Medical Students During COVID-19 at Sultan Qaboos University in Oman
por: AlHarthi, Ahmed S, et al.
Publicado: (2023) -
Proteomics: Concepts and applications in human medicine
por: Al-Amrani, Safa, et al.
Publicado: (2021)