Mini Review
Irradiation and Artificial Intelligence in Precision Medicine as the Management of Lung Cancer
Author(s): Ayush Jaiswal*
The largest cause of cancer-related fatalities worldwide is lung cancer. It displays phenotypic traits at the mesoscopic scale that are typically invisible to the human eye but can be non-invasively recorded as radiomics features on medical imaging, which can create a high-dimensional data space that is accessible to machine learning. Precision medicine is made possible by the use of radiomics characteristics, which may be harnessed and applied in an artificial intelligence paradigm to risk stratify patients, predict histology and molecular results, and clinical outcome measurements. Radiomics-based procedures are preferable than tissue sampling-based strategies because they are non-invasive, repeatable, less expensive, and less prone to intra-tumoral heterogeneity. This study focuses on the combination of radiomics and artificial intelligence for providing precision medicine in the t.. View More»
DOI:
10.14303/irjbcs.2023.36