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NeuraLog AI

AI Research Infrastructure for Clinical Trials

NeuraLog extracts clinical scale scores from patient notes in seconds, a process that typically consumes 15-40 minutes of manual effort per visit. Key differentiators include: • Automated extraction of clinical scale scores • Direct citation of source sentences for every value • Deliberate null return for ambiguous or conflicting documentation • Physician-built, ensuring accurate scale interpretation (e.g., HAM-D-17 vs. HAM-D-21) • Verification of all scale citations against PubMed for reliability. This platform significantly reduces the time researchers spend on data extraction, allowing them to focus on higher-value research activities. It is designed to prioritize accuracy and transparency, providing clear indicators when data is uncertain rather than generating potentially incorrect numbers. Users can upload de-identified notes in various formats, including PDFs and EHR exports. NeuraLog supports comprehensive research workflows, from predicting patient outcomes and stratifying cohorts to providing trial intelligence. It helps identify responders, cluster patients into meaningful subgroups, and predict trial success, generating real-world evidence for regulatory decisions. This tool is ideal for neurologists, physician-scientists, and clinical research teams seeking to streamline data extraction and enhance the integrity of their study data.
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