在医学诊断中使用人工智能的挑战和可能性的分析
T Fartushok1, D Bishchak2, I Bronova3
11Department of Obstetrics & Gynecology, Medical Faculty, Danylo Halytsky Lviv National Medical University, Ukraine.
Georgian medical news
|February 26, 2025
概括
人工智能 (AI) 在医疗保健领域显示出巨大的潜力,提高了诊断准确性和效率. 解决数据偏见和道德问题等挑战对于更广泛的AI在医学中的采用至关重要.
科学领域:
- 科学研究科学研究
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人工智能的人工智能
背景情况:
- 对人工智能类型和医疗保健中的应用进行分析.
- 人工智能实施挑战的文档.
- 评估人工智能对医疗保健效率的影响.
研究的目的:
- 分析人工智能在医疗保健中的地理分布.
- 确定人工智能在医疗保健中的挑战和机会.
- 评估AI在医学中的应用结果.
主要方法:
- 24项研究 (2019-2024) 的系统审查.
- 在IEEE Xplore,PubMed和谷歌学者中进行的搜索.
- 使用了MeSH关键字,具有特定的包含/排除标准.
主要成果:
- 人工智能,包括深度学习和机器学习,被广泛应用,特别是在精准医学和诊断领域.
- 主要挑战包括数据短缺,算法偏见和道德/监管问题.
- 趋势显示多模式数据集成,自动化增加和全球标准的融合.
结论:
- 人工智能提高了医疗诊断的准确性,速度和个性化.
- 克服实施障碍对于在医疗保健中广泛使用人工智能至关重要.
- 人工智能为改变医疗保健提供和效率提供了重大机会.
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