人工智能在癌症放射诊断中的应用。

IF 1.9
Bioinformation Pub Date : 2024-09-30 eCollection Date: 2024-01-01 DOI:10.6026/9732063002001512
Bassam Alkhalifah
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引用次数: 0

摘要

人工智能(AI)正被用于诊断癌症等致命疾病。可能减少人为错误、快速诊断和判断的一致性是实施这些技术的关键激励因素。因此,评估人工智能在癌症诊断中的应用是很有意义的。共纳入200例肿瘤,其中乳腺癌和肺癌各100例,由放射科医师采用人工智能和常规方法进行评估。使用基于人工智能的机器学习技术识别癌症病例。采用敏感性和特异性检查来评估两种方法的有效性。对所得数据进行统计学评价。与放射科医生的人工诊断方法相比,人工智能在癌症诊断中显示出更高的准确性、敏感性和特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in the radiological diagnosis of cancer.

Artificial intelligence (AI) is being used to diagnose deadly diseases such as cancer. The possible decrease in human error, fast diagnosis, and consistency of judgment are the key incentives for implementing these technologies. Therefore, it is of interest to assess the use of artificial intelligence in cancer diagnosis. Total 200 cancer cases were included with 100 cases each of Breast and lung cancer to evaluate with AI and conventional method by the radiologist. The cancer cases were identified with the application of AI-based machine learning techniques. The sensitivity and specificity check-up was used to assess the effectiveness of both approaches. The obtained data was statistically evaluated. AI has shown higher accuracy, sensitivity and specificity in cancer diagnosis compared to manual method of diagnosis by radiologist.

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来源期刊
Bioinformation
Bioinformation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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