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139P Inside oncologist’s mind: AI analysis of real-world treatment choices
0
Zitationen
9
Autoren
2025
Jahr
Abstract
Real-world (RW) oncologic decisions combine analytical reasoning, intuition, sentiment, and patient-context making them subjective even within guidelines framework. In heterogenous patient populations like advanced non-small cell lung cancer (aNSCLC), understanding drivers behind physicians’ choices is a key for improving care. Given that many such influences remain unseen within unstructured records, AI tools may help surface clinical reasoning. We present a large-scale, AI analysis of electronic medical records (EMR), offering insight beyond descriptive correlations into the rationale guiding RW-decisions.
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