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Updated: Jun 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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在clinicaltrials.gov注册的人工智能/机器学习研究:跨截面研究与时间趋势,2010-2023年

Shoko Maru1,2, Michael D Matthias3, Ryohei Kuwatsuru1,4

  • 1Graduate School of Medicine, Juntendo University, Tokyo, Japan.

Journal of medical Internet research
|October 25, 2024
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 研究的增长很快,主要来自高收入国家. 然而,尽管AI/ML研究取得了进展,但在ClinicalTrials.gov上报告的结果仍然有限.

关键词:
在临床试验.gov.人工智能的人工智能是人工智能.跨截面研究是跨截面研究.数据来源差异的差异.深度学习是一种深度学习.医疗保健 医疗保健 医疗保健在健康方面存在差异.机器学习是机器学习.出版偏见出版偏见的偏见登记处的注册表可以看到.趋势 趋势 趋势

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