Abstract：
Artificial intelligence (AI) has rapidly advanced in the past years, particularly in medicine for improved diagnostics. In clinical cytogenetics, AI is becoming crucial for analyzing chromosomal abnormalities and improving precision. However, existing software lack learning capabilities from experienced users. AI integration extends to genomic data analysis, personalized medicine and research, but ethical concerns arise. In this article, we discuss the challenges of the full automation in cytogenetic test interpretation and focus on its importance and benefits.
摘要：
人工智能（AI）在过去几年中迅速发展，特别是在医学上用于改进诊断。在临床细胞遗传学中，AI对于分析染色体异常和提高精度至关重要。然而,现有软件缺乏向有经验的用户学习的能力。人工智能整合延伸到基因组数据分析，个性化医学和研究，但伦理问题出现了。在这篇文章中,我们讨论了全自动化细胞遗传学测试解释的挑战，并关注其重要性和益处。
