人工智能 (AI) 建模的基础知识
1Editor-in-Chief Journal of Insurance Medicine.
Journal of insurance medicine (New York, N.Y.)
|May 27, 2024
概括
本研究回顾了人工智能 (AI) 在医学中的应用,总结了关键的应用和模型. 它突出了人工智能.
科学领域:
- 人工智能在医学中的应用
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
背景情况:
- 人工智能 (AI) 在医疗保健中的整合正在迅速扩大.
- 人工智能为复杂的医疗挑战提供了潜在的解决方案.
- 了解当前AI在医学领域的局面至关重要.
研究的目的:
- 提供人工智能在医学中的应用的全面概述.
- 总结医学研究和实践中使用的人工智能模型的现状.
- 确定AI在医疗领域的关键趋势和未来方向.
主要方法:
- 使用"人工智能"",医学中的人工智能"和"人工智能模型"等术语进行了系统的关键词搜索.
- 搜索的数据库包括PubMed和谷歌学者.
- 确定并审查了100多篇相关文章,以便纳入本总结.
主要成果:
- 人工智能正在各种医疗领域应用,包括诊断,药物发现和患者护理.
- 许多人工智能模型,从机器学习到深度学习,都在医学任务中表现出有效性.
- 经过审查的文献表明,越来越多的证据支持使用人工智能改善医疗保健结果.
结论:
- 人工智能对改变医疗实践和研究具有重大前景.
- 持续开发和验证人工智能模型对于它们在医学中的广泛采用至关重要.
- 未来的研究应该侧重于伦理考虑,临床整合以及人工智能在医疗保健中的长期影响.
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