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Medical LLM
Generative AI models excelling in clinical question answering, medical reasoning, and text summarization
Healthcare NLP
3,000+ Small Language Models for de-identification, entity, relation, and code extraction from clinical text
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Second use data platform that turns messy, longitudinal, multimodal clinical data into agent-ready patient journeys
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No-code platform for human-in-the-loop AI workflows including data annotation, validation, and model tuning
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De-Identification
Anonymize and obfuscate multimodal data: tabular, free text, FHIR, PDF, DICOM with regulatory-grade accuracy
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Automatically build and populate patient registries from multimodal clinical documents with human-in-the-loop review
Clinical Data Curation
Automate and scale the extraction of accurate patient-level facts, codes, and measures from clinical documents
Clinical Trial Matching
Extract eligibility criteria and match patients to clinical trials directly from unstructured clinical data
OMOP Harmonization
Map, normalize, and harmonize multimodal, longitudinal clinical data into a unified OMOP Common Data Model
Care Gap Analytics
Reconcile clinical data against quality measures to surface care gaps and close them at scale
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Why Mapping Clinical Notes to ICD-10, CPT, LOINC, and SNOMED Codes Takes Mo…
Clinical Knowledge Graphs in an LLM-Dominated World
dQMs and ECDS: Why Real-Time NLP Pipelines Must Replace Manual Chart Abstra…
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Mahmood Bayeshi
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November 18
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From Clinical Documents to Automated Patient Registries
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Entropy and Sentiment: the Anna Karenina Principle in Patient Experience Data
by
Dominika Garczynska
Is it Enough to Simply Apply Language Model for Optimal Text Classification?
by
Dominika Garczynska
Leveraging Deep Learning and Clinical Text to Predict Asthma Exacerbation
by
Dominika Garczynska
This talk is intended to provide a view into the process of developing risk classifiers using NLP and deep learning on clinical notes derived from electronic medical records. The ultimate...
Opportunities and Challenges of Applying Advances in NLP to Healthcare
by
Dominika Garczynska
Extracting Events and their Dates from Clinical Text to Generate Real World Evidence
by
Dominika Garczynska
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