癌症信息学：人工智能在癌症护理中的新方法与应用
Cancer Informatics: Novel Methods and Applications of Artificial Intelligence in Cancer Care Delivery.
作者信息
Aneja Sanjay, Parikh Ravi B
机构信息
Yale Cancer Center, New Haven, CT, USA.
Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.
出版信息
Yearb Med Inform. 2024 Aug;33(1):99-101. doi: 10.1055/s-0044-1800727. Epub 2025 Apr 8.
OBJECTIVES
To summarize significant research contributions on cancer informatics published in 2023, an extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2023 that address topics in cancer. The selection process comprised three steps: (i) ten candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of three best papers was conducted by the editorial board of the Yearbook.
RESULTS
The two selected papers demonstrate advances in the clinical implementation of cancer informatics methodologies. Both studies highlight translation of informatics methodologies to improve cancer outcomes.
CONCLUSIONS
Cancer informatics is a maturing subfield of bioinformatics. As novel methodologies continue to emerge, further emphasis will be placed on rigorous clinical validation and real-world scalability of such solutions to positively impact patient outcomes.
目的
为总结2023年发表的关于癌症信息学的重要研究贡献，我们利用PubMed/MEDLINE进行了广泛检索，以识别2023年发表的涉及癌症主题的科学贡献。选择过程包括三个步骤：(i) 首先由两位栏目编辑选出十篇候选最佳论文；(ii) 来自国际知名研究团队的外部评审员对每篇候选最佳论文进行评审；(iii) 由年鉴编辑委员会最终选出三篇最佳论文。
结果
所选的两篇论文展示了癌症信息学方法在临床应用方面的进展。两项研究均强调了信息学方法的转化以改善癌症治疗结果。
结论
癌症信息学是生物信息学中一个不断成熟的子领域。随着新方法不断涌现，将进一步强调对此类解决方案进行严格的临床验证和实际应用中的可扩展性，以对患者治疗结果产生积极影响。
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