The Impact of Artificial Intelligence on Patient Screening for Oncology Clinical Trials: A Systematic Review
6/28/2025 • JMIR Cancer • License: CC BY
Gupta, S.
Abstract
This systematic review of 22 studies on AI in oncology trial matching found that AI-powered tools can screen patient records with high accuracy (median 91%) and dramatically improve efficiency. On average, AI systems were able to screen patients up to 150 times faster than traditional manual methods. The review concludes that AI is a critical tool for overcoming the complexities of matching patients to precision oncology trials.
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Clinical implications
A review of 22 studies confirms that AI tools can find eligible cancer patients for clinical trials much faster and more accurately than humans. This is crucial for advancing cancer research and getting new treatments to patients sooner.
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