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LLM pipeline tracks critical imaging results in pediatric patients

Original: SIIM-CAIMI: LLM pipeline tracks critical results in pediatric patients

A large language model pipeline presented under the SIIM-CAIMI initiative is being used to track critical imaging results in pediatric patients, helping ensure important findings are followed up and communicated promptly. The work highlights growing interest in applying AI to reduce missed or delayed critical results in children's radiology workflows.

Why now: Clinicians and radiology informatics audiences are discussing new AI tools that improve follow-up of critical pediatric imaging findings.

SIIMCAIMIpediatric radiology

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