人工智能与癌症:注册临床试验概况。

IF 2 Q3 HEALTH POLICY & SERVICES
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引用次数: 0

摘要

由于处理算法和数据可用性的进步,人工智能(AI)取得了长足的发展。近年来,在深度机器学习取得突破性进展的推动下,人工智能再次兴起。人工智能在医疗领域,尤其是在个性化医疗领域引起了特别的兴趣,例如利用大规模基因组和分子数据来预测病人的个体治疗反应。人工智能在疾病诊断、监测和治疗方面的应用正在迅速扩大,导致注册试验的数量不断增加。因此,本研究旨在识别和评估 2016 年 1 月 1 日至 2023 年 9 月 30 日期间注册的人工智能与癌症相关的临床试验。我们的研究结果表明,与其他疾病相比,将人工智能与癌症研究联系起来的临床试验数量大幅增长,其中结直肠和乳腺肿瘤类型的注册试验数量最多。最常见的干预措施是疾病诊断和监测。在国家方面,中国和美国的注册试验数量最多。总之,肿瘤学是人工智能非常感兴趣的一个领域,发达国家在这一领域的研究处于领先地位。遗憾的是,发展中国家在这方面仍处于起步阶段,政府应制定相关政策来改善这一领域。
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 and cancer: Profile of registered clinical trials

Artificial Intelligence (AI) has made significant strides due to advancements in processing algorithms and data availability. Recent years have shown a resurgence in AI, driven by breakthroughs in deep machine learning. AI has attracted particular interest in the medical sector, especially in the field of personalized medicine, which for example uses large-scale genomic and molecular data to predict individual patient treatment responses. The applications of AI in disease diagnosis, monitoring, and treatment are expanding rapidly, leading to a growing number of registered trials. Therefore, this study aimed to identify and evaluate clinical trials registered between January 1st 2016, and September 30th 2023 that connect AI and cancer. Our findings show that the number of clinical trials linking AI with cancer research has grown significantly compared to other diseases, with colorectal and breast tumour types showing the highest number of registered trials. The most frequent intervention was disease diagnosis and monitoring. Regarding countries, China and the United States hold the highest numbers of registered trials. In conclusion, oncology is a field with a great interest in AI, where the developed countries are leading the studies in this field. Unfortunately, developing countries are still crawling in this aspect and government policies should be made to improve that area.

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来源期刊
Journal of Cancer Policy
Journal of Cancer Policy Medicine-Health Policy
CiteScore
2.40
自引率
7.70%
发文量
47
审稿时长
65 days
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