生成性人工智能在移植医学中的新兴作用
Maya Deeb1, Anirudh Gangadhar2, Madhumitha Rabindranath2
1Ajmera Transplant Program, University Health Network Toronto, Ontario, Canada; Division of Gastroenterology and Hepatology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
概括
生成型人工智能 (AI) 通过简化研究,教育和临床实践,为推进移植医学提供了重大机会. 这项技术还可以提高患者教育,改善移植的护理和结果.
科学领域:
- 移植医学 移植医学 移植医学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 生成型人工智能 (AI) 已经迅速发展,在医疗保健领域显示出了前景.
- 移植医学为人工智能集成提供了许多机会.
研究的目的:
- 审查生成AI在移植中的当前和潜在应用.
- 为移植临床医生引入人工智能和生成人工智能概念.
- 催化在现场开发和采用生成AI的发展和采用.
主要方法:
- 对移植医学中生成性AI应用的文献综述.
- 对临床医生,研究人员,教育工作者和患者的人工智能应用的概述.
- 讨论人工智能在移植方面的挑战和未来方向.
主要成果:
- 生成型人工智能可以简化移植研究,医学教育和临床实践中的任务.
- 人工智能应用可以改善患者的教育和参与.
- 确定的挑战包括临床整合和改进的需要.
结论:
- 生成型人工智能具有很大的潜力来增强移植医学.
- 解决实施挑战对于可持续采用至关重要.
- 人工智能工具的进一步改进是必要的,以最大限度地为临床医生和患者带来好处.
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