新兴技术用于及时诊断皮肤癌的护理点诊断
Jarrod L Thomas1,2, Adrian H M Heagerty3,4, Pola Goldberg Oppenheimer1,2
1Advanced Nanomaterials Structures and Applications Laboratories School of Chemical Engineering College of Engineering and Physical Sciences University of Birmingham Edgbaston Birmingham B15 2TT UK.
Global challenges (Hoboken, NJ)
|May 12, 2025
概括
皮肤癌的诊断需要更快,更准确的方法. 拉曼光谱为检测分子变化提供了一种非侵入性,快速的技术,改善了早期皮肤癌检测.
科学领域:
- 瘤学和医学诊断 医学诊断
- 生物医学工程 生物医学工程
- 频谱学是一种光谱学.
背景情况:
- 皮肤癌是一个全球性的健康问题,与紫外线辐射,人口变化和不充分的查相关的发病率上升.
- 目前用于皮肤癌的诊断方法往往是侵入性的,缓慢的,昂贵的,缺乏便携性,需要诊断技术的进步.
研究的目的:
- 在医学和工程领域审查和巩固皮肤癌诊断的最新进展.
- 突出拉曼光谱和人工智能作为开发皮肤癌快速,准确,点的护理诊断工具的关键技术.
主要方法:
- 传统和新兴的皮肤癌检测方法的概述,包括化学生物物理传感技术.
- 专注于拉曼光谱技术,用于皮肤样本中的非侵入性分子指纹检测.
- 整合人工智能作为诊断准确性的决策支持工具.
主要成果:
- 拉曼光谱显示出作为皮肤癌的快速,非侵入性诊断工具的潜力,提供分子水平的洞察力.
- 拉曼光谱和人工智能的结合可以提高诊断准确度并支持临床决策.
- 在将这些技术转化为实际的护理应用方面正在取得进展.
结论:
- 由于全球事件的增加,迫切需要改进皮肤癌诊断.
- 通过人工智能增强的拉曼光谱为开发先进的,非侵入性的皮肤癌点诊断解决方案提供了一个有前途的途径.
- 进一步开发和翻译对于实际应用和及时干预皮肤癌管理至关重要.
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