人工智能在子宫内膜癌中的研究与应用

Research and Application of Artificial Intelligence in the Endometrial Cancer

随着机器学习和深度学习模型的发展,人工智能正被应用于医学领域。在肿瘤学中,人工智能在医学图像中的诊断评估、基因组数据组学分析中的应用一直在增加。人工智能可通过机器学习在大数据中挖掘事物发展的规律,找到可以利用的医学信息,产生新的数据,有助于医务工作者更客观地认识和掌握各种疾病的发展规律。子宫内膜癌是女性生殖系统三大恶性肿瘤之一,发病率正在持续上升。关于人工智能在子宫内膜癌中应用的报道越来越多,对这些研究进行回顾分析,发现研究主要集中在影像学诊断方面,在预测深肌层浸润、淋巴血管间隙侵犯、淋巴结转移等方面初见成效,但很少有研究成果可以在临床中实践,未来还需要进一步探索。

With the development of machine learning and deep learning models, artificial intelligence is being applied to the medical field. In oncology, the application of artificial intelligence in diagnosis and evaluation of medical images and genome data omics analysis has been increasing. Artificial intelligence can mine the law of development of things in big data through machine learning, find medical information that can be used, and generate new data, which will help medical workers more objectively understand and master the law of development of various diseases. Endometrial cancer is one of the three major malignant tumors in the female reproductive system, and its incidence rate is rising continuously. There are more and more reports about the application of artificial intelligence in endometrial cancer. Reviewing and analyzing these studies, it is found that the research mainly focuses on imaging diagnosis, and has achieved initial results in predicting deep muscle layer invasion, lymphatic vessel space invasion, lymph node metastasis, etc., but few research results can be applied in clinical practice, and further exploration is needed in the future.