Artificial intelligence and machine learning techniques are breaking into biomedical
research and health care, which importantly includes cancer research and oncology, where …

Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical
care. Availability of high-dimensionality datasets coupled with advances in high …

Artificial intelligence (AI) has contributed substantially to the resolution of a variety of
biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI …

The volume and complexity of scientific and clinical data in oncology have grown markedly
over recent years, including but not limited to the realms of electronic health data …

Artificial intelligence (AI) approaches have the potential to affect several facets of cancer
therapy. These include drug discovery and development and how these drugs are clinically …

The multitude of multi-omics data generated cost-effectively using advanced high-
throughput technologies has imposed challenging domain for research in Artificial …

Simple Summary With the advancement of artificial intelligence, including machine learning,
the field of oncology has seen promising results in cancer detection and classification …

Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …