CLNQ - advanced AI-supported clinical decision-making platform

CLNQ is an advanced (Gen-2) AI-supported clinical decision-making platform utilizing enhanced human phenotype ontologies and a sophisticated biomedical knowledgebase engine. The multiple generations of the CLNQ app can be used for education of health professionals, training of nurses, doctors, and clinicians, for health science research, for patient education, health policy decision-making, inter-professional collaborations, and translational sciences.


Key CLNQ features include:
• Clinical Intelligence Engine
• HPO Ontology Integration
• Statistical Treatment Modeling
• Comprehensive Cost Analysis
• Evidence-Based Recommendations

CLNQ is designed, developed, deployed, and supported by UMSN AI in Heath Initiative, SOCR, and GrayRain. 





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