In a recent presentation at the NCCN Policy Summit, Dr. Travis Osterman of Vanderbilt University Medical Center discussed the expanding role of artificial intelligence (AI) in oncology, emphasizing crucial regulatory considerations for its implementation. He highlighted a framework for AI’s integration into the cancer care continuum, from prevention to survivorship, emphasizing its applications beyond large language models (LLMs) to include natural language processing and data analytics. Osterman presented findings from an AI inventory that revealed 131 AI instances in use, illustrating themes of enhanced clinical operations and data management. He also addressed ongoing challenges like reliance on AI and varying state regulations, spotlighting Maryland’s legislation that mandates human oversight in AI-assisted decision-making. Regulatory updates from the FDA and CMS aim to streamline AI integration while safeguarding clinical practice. As AI’s role in oncology continues to evolve, clarity in policy will facilitate its effective use in patient care.
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