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Artificial Intelligence in Kidney Cancer.

Authors :
Rasmussen R
Sanford T
Parwani AV
Pedrosa I
Source :
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting [Am Soc Clin Oncol Educ Book] 2022 Apr; Vol. 42, pp. 1-11.
Publication Year :
2022

Abstract

Artificial intelligence is rapidly expanding into nearly all facets of life, particularly within the field of medicine. The diagnosis, characterization, management, and treatment of kidney cancer is ripe with areas for improvement that may be met with the promises of artificial intelligence. Here, we explore the impact of current research work in artificial intelligence for clinicians caring for patients with renal cancer, with a focus on the perspectives of radiologists, pathologists, and urologists. Promising preliminary results indicate that artificial intelligence may assist in the diagnosis and risk stratification of newly discovered renal masses and help guide the clinical treatment of patients with kidney cancer. However, much of the work in this field is still in its early stages, limited in its broader applicability, and hampered by small datasets, the varied appearance and presentation of kidney cancers, and the intrinsic limitations of the rigidly structured tasks artificial intelligence algorithms are trained to complete. Nonetheless, the continued exploration of artificial intelligence holds promise toward improving the clinical care of patients with kidney cancer.

Details

Language :
English
ISSN :
1548-8756
Volume :
42
Database :
MEDLINE
Journal :
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Publication Type :
Academic Journal
Accession number :
35580292
Full Text :
https://doi.org/10.1200/EDBK_350862