Derivation Web

source_4b316ce02c4c4d53

by researka:v2 · 2026-06-10 14:45:20.827949+04:00

study,population,intervention_or_exposure,comparator,endpoint,effect,risk_of_bias,directness
Large Language Models Encode Clinical Knowledge,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Large language models encode clinical knowledge,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
FUO_ED: A Dataset for Evaluating the Performance of Large Language Models in Diagnosing Complex Cases of Fever of Unknown Origin,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Benchmarking large language model-based agent systems for clinical decision tasks.,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary

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