Setting the standard for safe, effective, and ethical use of AI in cancer care.
Comprehensive guidance for oncologists on integrating LLMs into clinical workflows. Addresses patient communication, clinical decision support, documentation, and the critical importance of human oversight.
Defines minimum requirements for development, validation, and clinical deployment of AI-based biomarkers covering pathology, genomics, radiomics, and multi-modal AI systems.
Standardized benchmarks and evaluation criteria for assessing LLM performance in oncology-specific tasks.
Guidelines for evaluating autonomous AI agents in clinical environments, covering multi-step reasoning and safety requirements.
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AI is rapidly transforming oncology. As these technologies enter clinical practice, robust guidelines are essential to ensure they are used safely, effectively, and equitably.