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Large Language Models are Approximate Survival Estimators
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survival analysislarge language modelsmedical risk assessment
2609.38181
Builder Relevance
1h ago70%
Abstract
The paper evaluates the use of large language models for survival analysis in medical risk assessment.
Reality Card
Core Claim
LLMs can provide competitive survival predictions with cMAE within 10% of state-of-the-art RSF models for several cancer types.
Method / Result
GPT-5.6-Sol achieved cMAE within 10% of RSF models for various cancer types.
Limitations
LLMs showed inconsistent accuracy across cancer types and institutions, limiting their clinical applicability.
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