Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine
Year: 2022
Type: article
Abstract: Radiogenomics, a combination of "Radiomics" and "Genomics," using Artificial Intelligence (AI) has recently emerged as the state-of-the-art science in precision medicine, especially in oncology care. Radiogenomics syndicates large-scale quantifiable data extracted from radiological medical images enveloped with personalized genomic phenotypes. It fabricates a prediction model through various AI methods to stratify the risk of patients, monitor therapeutic approaches, and assess clinical outcomes. It has recently shown tremendous achievements in prognosis, treatment planning, survival prediction, heterogeneity analysis, reoccurrence, and progression-free survival for human cancer study. Although AI has shown immense performance in oncology care in various clinical aspects, it has several challenges and limitations. The proposed review provides an overview of radiogenomics with the viewpoints on the role of AI in terms of its promises for computational as well as oncological aspects and offers achievements and opportunities in the era of precision medicine. The review also presents various recommendations to diminish these obstacles.
Source: Cancers
Institutions: International Institute of Information Technology, Bharati Vidyapeeth's College of Engineering, Delhi, National Institute of Pharmaceutical Education and Research - Ahmedabad, Johns Hopkins University, North Eastern Hill University, Idaho State University, Massachusetts General Hospital, Azienda Ospedaliero-Universitaria Cagliari, Brown University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,513
OpenAlex ID: W4281628031