数字病理学和人工智能在诊断病理学中的应用
P Jariyapan1, W Pora2, N Kasamsumran2
1Bangkok International Preparatory and Secondary School, Bangkok, Thailand.
The Malaysian journal of pathology
|April 30, 2025
概括
数字病理学中的人工智能 (AI) 提高了诊断效率和准确性. 病理学家-人工智能合作产生了卓越的结果,尽管人类的专业知识对于最终诊断至关重要.
科学领域:
- 数字病理学和人工智能 (AI).
背景情况:
- 数字病理学正在改变病理学实践.
- 人工智能算法在提高诊断效率,生物标志物分析和查方面表现有前途.
- 病理学家对人工智能集成表示担忧.
研究的目的:
- 提供数字病理学和诊断中的深度学习的概述.
- 探索AI在病理学中的优势,用途,障碍和未来潜力.
- 突出人工智能对疾病诊断和病理学家的作用的影响.
主要方法:
- 数字病理学过程的审查.
- 探索深度学习在诊断病理学中的应用.
- 对人工智能的好处,挑战和未来前景的分析.
主要成果:
- 人工智能在病理学中的整合为诊断改进提供了显著的潜力.
- 病理学家和人工智能系统之间的协作努力超过了个人表现.
- 人工智能在实验室过程中提高了疾病诊断的有效性.
结论:
- 基于人工智能的方法有望提高病理学实验室的效率.
- 病理学家和人工智能系统之间的协同作用是提高诊断能力的关键.
- 病理学家在不断变化的数字病理学领域中,对于确定的诊断至关重要.
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