The Significance of artificial intelligence in the early diagnosis of multiple myeloma

Anisha S. S, Shajin Nargunam A
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Abstract

A malignancy known as multiple myeloma develops in a type of white blood cell known as a plasma cell. The plasma cells are responsible for the production of antibodies. In multiple myeloma, healthy blood cells are displaced by malignant plasma cells that build up in the bone marrow. Using machine learning techniques, artificial intelligence has radically changed the world of oncology research. Machine learning is a branch of artificial intelligence that makes use of algorithms to analyse data, draw conclusions from it, and then utilise those conclusions to make decisions in the present. In this study, we explore the potential applications of artificial intelligence in the diagnosis of multiple myeloma and present the most important machine learning and deep learning experiments conducted in the field. One of the most severe haematological cancers worldwide is multiple myeloma.
人工智能在多发性骨髓瘤早期诊断中的意义
多发性骨髓瘤是一种恶性肿瘤,发生在一种叫做浆细胞的白细胞中。浆细胞负责产生抗体。在多发性骨髓瘤中,健康的血细胞被骨髓中积聚的恶性浆细胞所取代。利用机器学习技术,人工智能从根本上改变了肿瘤研究的世界。机器学习是人工智能的一个分支,它利用算法来分析数据,从中得出结论,然后利用这些结论来做出当前的决策。在本研究中,我们探讨了人工智能在多发性骨髓瘤诊断中的潜在应用,并介绍了该领域最重要的机器学习和深度学习实验。多发性骨髓瘤是世界上最严重的血液学癌症之一。
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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