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A clinical trial is a study that evaluates new biomedical interventions. Todesign new trials, researchers draw inspiration from those current andcompleted. In 2022, there were on average more than 100 clinical trialssubmitted to ClinicalTrials.gov every day, with each trial having a mean ofapproximately 1500 words [1]. This makes it nearly impossible to keep up todate. To mitigate this issue, we have created a batch clinical trial summarizercalled CliniDigest using GPT-3.5. CliniDigest is, to our knowledge, the firsttool able to provide real-time, truthful, and comprehensive summaries ofclinical trials. CliniDigest can reduce up to 85 clinical trial descriptions(approximately 10,500 words) into a concise 200-word summary with referencesand limited hallucinations. We have tested CliniDigest on its ability tosummarize 457 trials divided across 27 medical subdomains. For each field,CliniDigest generates summaries of $\mu=153,\ \sigma=69 $ words, each of whichutilizes $\mu=54\%,\ \sigma=30\% $ of the sources. A more comprehensiveevaluation is planned and outlined in this paper.

CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions