Modernising patient recruitment: AI meets clinical trials


 A paradigm shift is occurring in how clinical trials find participants as traditional recruitment methods often fail to fill rosters on time. The solution lies in using artificial intelligence and natural language processing to read the unstructured data in electronic health records. This includes doctor notes and pathology reports which contain rich clinical details that do not fit into simple check box criteria. This approach allows researchers to identify candidates based on nuanced clinical histories such as disease progression or non response to therapy that are not captured in standard structured data.

By automating the screening of these complex documents researchers can identify eligible patients significantly faster than manual methods allow. This capability addresses one of the biggest bottlenecks in medical research and could drastically accelerate the development of new therapies for patients waiting for answers.

Read the original article at: https://medcitynews.com/2025/10/patient-recruitment-reimagined-how-ai-is-key-to-clinical-trial-acceleration/


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