Cargando…
Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review
OBJECTIVE: In this review, we aim to present frontier studies in patients with lung cancer as it related to artificial intelligence (AI)-assisted decision-making and summarize the latest advances, challenges and future trend in this field. BACKGROUND: Despite increasing survival rate in cancer patie...
Autores principales: | Li, Jingwei, Wu, Jiayang, Zhao, Zhehao, Zhang, Qiran, Shao, Jun, Wang, Chengdi, Qiu, Zhixin, Li, Weimin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743400/ https://www.ncbi.nlm.nih.gov/pubmed/35070384 http://dx.doi.org/10.21037/jtd-21-864 |
Ejemplares similares
-
A narrative review of artificial intelligence-assisted histopathologic diagnosis and decision-making for non-small cell lung cancer: achievements and limitations
por: Li, Yongzhong, et al.
Publicado: (2021) -
Artificial intelligence in thoracic surgery: a narrative review
por: Bellini, Valentina, et al.
Publicado: (2021) -
Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology
por: Kim, Yisak, et al.
Publicado: (2021) -
Artificial intelligence in thoracic diseases: the next technology to improve individual precision medicine
por: Liang, Hengrui, et al.
Publicado: (2021) -
Artificial intelligence assisted display in thoracic surgery: development and possibilities
por: Chen, Zhuxing, et al.
Publicado: (2021)