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. 2024;20(31):2303-2305.
doi: 10.1080/14796694.2024.2385296. Epub 2024 Aug 12.

Cancer cytogenetics in the era of artificial intelligence: shaping the future of chromosome analysis

Alain Chebly  1   2
Affiliations

Cancer cytogenetics in the era of artificial intelligence: shaping the future of chromosome analysis

Alain Chebly. Future Oncol. 2024.

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.

Keywords: artificial intelligence; cancer; chromosome analysis; cytogenetics; karyotype; machine learning techniques.

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Conflict of interest statement

The authors have no competing interests or relevant affiliations with any organization or entity with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

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