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205P Large language models in clinical oncology: Comparative analysis of colorectal cancer recurrence identification
0
Zitationen
12
Autoren
2025
Jahr
Abstract
Accurate detection of colorectal cancer (CRC) recurrence from electronic medical records (EMRs) is challenging and resource-intensive. We developed and validated an automated algorithm for recurrence detection and benchmarked it against state-of-the-art large language models (LLMs).
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