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

Our partnered journal Future Oncology recently published an Editorial exploring the challenges of AI in cancer cytogenetics and how AI solutions could pave the way for an accelerated workflow, optimal results and transformative paradigm in cytogenetics. Access the full article Abstract 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...