表面真菌感染和人工智能:对当前进展和机遇的回顾:REVISION
1School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mycoses
|January 8, 2025
概括
人工智能 (AI) 在诊断,治疗和预防表面真菌感染方面提供了有前途的进展. 这篇评论强调了人工智能.
科学领域:
- 皮肤病学和真菌学
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 影响皮肤,指甲和头皮的表面真菌感染在全球普遍存在.
- 传统的诊断方法 (显微镜,培养,组织病理学) 可能是缓慢的,治疗可能是无效的.
- 人工智能 (AI) 正在彻底改变医学研究,在各种专业领域的应用越来越多.
研究的目的:
- 审查和总结AI在表面真菌感染的诊断,治疗和预防中的利用.
- 确定研究缺口,并强调需要进一步开发AI应用在真菌学.
主要方法:
- 对54项专注于人工智能在表面真菌感染中的研究进行了全面的审查.
- 对人工智能在宏观和微观图像分析中对真菌识别的作用的分析.
- 评估AI在分类真菌物种和帮助诊断方面的潜力.
主要成果:
- 洋菌病成为最常被研究的表面真菌感染.
- 人工智能证明了从各种图像类型和部分分类中诊断真菌的能力.
- 人工智能可以作为一种有价值的工具,增强现有的表面真菌病的诊断方法.
结论:
- 人工智能在管理表面真菌感染的所有阶段都显示出潜在的实用性:诊断,治疗和预防.
- 人工智能可以作为一种补充工具,增强临床医生的专业知识和实验室发现.
- 进一步的研究和开发对于充分实现AI在临床真菌学中的潜力至关重要.
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