Artificial Intelligence's Significance in Diseases with Malignant Tumours

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Abstract

In the field of medicine, artificial intelligence has become a useful tool, particularly in the diagnosis and treatment of disorders with malignant tumours. Deep learning and machine learning algorithms, for example, have significant promise for increasing the precision and effectiveness of tumour diagnosis and treatment. The importance of AI in diseases with malignant tumours is examined in this work, with particular attention paid to its function in medication discovery, therapy prediction, and medical imaging analysis. It also emphasizes the difficulties and restrictions related to the application of AI, such as problems with poor data quality, as well as the requirement for legal and moral considerations. Basically, AI offers exciting possibilities to improve personalized treatment, early detection, and research developments in oncology, but careful consideration must be given to ensure appropriate and successful integration into clinical practice.
人工智能在恶性肿瘤疾病中的意义
在医学领域,人工智能已成为一种有用的工具,尤其是在诊断和治疗恶性肿瘤疾病方面。例如,深度学习和机器学习算法在提高肿瘤诊断和治疗的精确性和有效性方面大有可为。本研究探讨了人工智能在恶性肿瘤疾病中的重要性,尤其关注其在药物发现、治疗预测和医学影像分析方面的功能。报告还强调了与人工智能应用相关的困难和限制,如数据质量差的问题,以及法律和道德方面的要求。从根本上说,人工智能为改善肿瘤学的个性化治疗、早期检测和研究发展提供了令人兴奋的可能性,但必须慎重考虑,以确保适当、成功地融入临床实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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