Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.
Department of Urology, Upstate Medical University, Syracuse, NY.
Am Soc Clin Oncol Educ Book. 2022 Apr;42:1-11. doi: 10.1200/EDBK_350862.
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.
人工智能正在迅速扩展到几乎生活的各个方面,尤其是在医学领域。在肾癌的诊断、特征描述、管理和治疗方面,有许多需要改进的地方,而人工智能可能会带来这些改进。在这里,我们探讨了当前人工智能研究工作对照顾肾癌患者的临床医生的影响,重点关注放射科医生、病理学家和泌尿科医生的观点。有希望的初步结果表明,人工智能可能有助于诊断和对新发现的肾肿块进行风险分层,并有助于指导肾癌患者的临床治疗。然而,该领域的大部分工作仍处于早期阶段,其广泛适用性有限,并且受到小数据集、肾癌的不同表现和呈现以及人工智能算法所训练完成的刚性结构任务的固有局限性的限制。尽管如此,对人工智能的持续探索有望改善肾癌患者的临床护理。