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December 8, 2025Discover OncologyOpen Access

Trends in artificial intelligence and machine learning for renal cancer

Ji-rui Niu Zhaohui Xing Yin Yu Shuhua Yu

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Key Points

AI and ML drive innovation in renal cancer treatment and research, enhancing clinical integration efforts.
Successful incorporation of AI in oncology may address existing challenges, ensuring ethical deployment in medical settings.
Integration of advanced technologies in renal cancer necessitates ongoing collaboration among researchers for impactful outcomes.
Research highlights the evolving role of AI and ML, emphasizing the importance of overcoming limitations for better patient outcomes.

Implication

Analysis reveals the potential of AI and ML in oncology, suggesting novel approaches for renal cancer integration in clinical practice.

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Cite This Study

Niu et al. (2025) studied this question.

synapsesocial.com/papers/69401f142d562116f28fa5f2 https://doi.org/10.1007/s12672-025-04089-4

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