Reducing Cognitive Load: Agentic AI for Efficient Clinical Trial Matching – Targeted Oncology

Agentic AI systems are being applied to streamline the clinical trial matching process by reducing the cognitive burden on healthcare professionals. The technology aims to improve efficiency in identifying appropriate trials for oncology patients by automating complex matching tasks. This approach represents an advancement in applying artificial intelligence to enhance trial enrollment and patient outcomes.

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