A recent study by the National Institutes of Health (NIH) developed an AI algorithm called TrialGPT to match potential volunteers with relevant clinical trials listed on ClinicalTrials.gov. The algorithm successfully identified eligible trials for patients and provided explanations for meeting enrollment criteria. TrialGPT streamlined the matching process, allowing clinicians to efficiently connect patients with suitable trials. The study showed that TrialGPT achieved similar accuracy to human clinicians and reduced the time spent screening patients by 40%. This innovative tool has the potential to improve clinical trial enrollment, advance medical research, and facilitate connections between patients and relevant trial opportunities.
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