PagePeek AI Evaluates Rhinological Studies for Clinical Relevance

PagePeek launched an artificial intelligence (AI) assessment tool for rhinological research on October 10, 2025. The system evaluates image processing, anatomy studies, molecular mechanisms, diagnostics, and outcomes in research related to nasal and sinus diseases. PagePeek aims to improve the precision and quality of research and clinical care by providing detailed feedback. The AI uses deep learning models trained on thousands of CT and MRI scans of sinonasal anatomy. It assesses whether research articles correctly identify pathological changes and correlate findings with clinical symptoms. The framework also analyzes allergological research and surgical techniques, ensuring studies meet established standards and offer valuable clinical insights. This addresses conditions affecting millions globally, such as chronic rhinosinusitis and olfactory disorders. PagePeek offers researchers and clinicians detailed reviews of research design. This support promotes rigor in precision medicine and minimally invasive techniques. The tool analyzes medical images and uses predictive models to ensure scientific accuracy and clinical relevance in this specialized medical field. The goal is to ensure studies meet recognized standards and contribute meaningful clinical information.