The landscape of artificial intelligence (AI) is rapidly transforming oncology and cancer research. Since 2022, large language models (LLMs) have progressed from mere text generators to autonomous AI agents capable of logical reasoning and complex workflows. These innovations are revolutionizing drug design and personalized treatment strategies by efficiently analyzing biological data and tailoring therapeutic plans to individual patient needs. However, gaps in knowledge about these agents remain among researchers, necessitating robust data quality and ethical frameworks to ensure patient safety and equitable treatment outcomes. The integration of AI in clinical practice faces challenges, including trust issues and disruption of established workflows. Ongoing collaboration among academic, industry, and regulatory sectors is crucial for successful AI adoption. Moreover, academic curricula must evolve to include AI literacy, preparing future professionals for a tech-enhanced healthcare landscape. Ultimately, AI agents present profound benefits in enhancing human capabilities and improving patient care in oncology, warranting renewed dialogue about their implementation.
Keywords: AI agents, oncology, cancer research, autonomous systems, ethical considerations.
Tags: AI-driven cancer treatment, artificial intelligence in oncology, future of AI in cancer treatment.
