





Roche automates knowledge extraction from pathology reports



Lessons Learned De-Identifying 700 Million Patient Notes with Spark NLP






NLP for Finance – Automated Invoice Classification for Submission Compliance








A Real-time NLP-based Clinical Decision Support Platform for Psychiatry and Oncology










Identifying opioid-related adverse events from unstructured text in electronic health records





Automated Classification and Entity Extraction from essential documents pertaining to Clinical Trials






Therapy Specific Outcomes – Rheumatology Insights using NLP




Building an Integrated Data Approach to Pharma Medical Affairs








Artificial Intelligence for Pharmacovigilance Processing







John Snow Labs’ Spark NLP for Healthcare Library Speeds Up Automated Language Processing with Intel® AI Technologies





Understand Patient Experience Journey to Improve Pharma Value Chain










Building Reproducible Evaluation Processes for Spark NLP Models




Building Patient Cohorts with NLP and Knowledge Graphs








Vakilsearch Understands Scanned Legal & Tax Forms Using John Snow Labs


Detecting Undiagnosed Conditions and Automating Medicare Risk Adjustment








A unified CV, OCR, and NLP approach for scalable document understanding at DocuSign










Adverse Drug Event Detection Using Spark NLP





Spark NLP in action: improving patient flow forecasting








Databricks Introduces Partner Connect with Seamless John Snow Labs Integration








Automated Patient Risk Adjustment and Medicare HCC Coding from Clinical Notes





Using Spark NLP in R: a Drug Standardization Case Study









SelectData interprets millions of patient stories with deep learned OCR and NLP








Spark NLP in action: intelligent, high-accuracy fact extraction from long financial documents






Using Spark NLP to De-Identify Doctor Notes in the German Language





Identifying Housing Insecurity and Other Social Determinants of Health from Free-Text Notes


Accelerating clinical risk adjustment through Natural Language Processing







Deep6 accelerates clinical trial recruitment with Spark NLP






Text Classification into a Hierarchical Market Taxonomy using Spark NLP at Bitvore








ESG Document Classification





Applying advanced analytics to help improve mental health among HIV positive adolescents in South Africa








SelectData uses AI to better understand home health patients








Burden Reduction: Using Spark NLP to provide assistive intelligence in documenting evidence-based guidelines








Best Practices in Improving NLP Accuracy for Clinical Entity Recognition & Resolution









Using Spark NLP to Enable Real-World Evidence (RWE) and Clinical Decision Support in Oncology











Using Spark NLP to build a drug discovery knowledge graph for COVID-19






Automating a Streaming Pipeline with OCR on Databricks Lakehouse





Beyond Context: Answering Deeper Questions by Combining Spark NLP and Graph Database Analytics








Abstracting Real World Data from Oncology Notes





Benefits and Challenges in de-identifying and linking unstructured medical records






Predictive Maintenance by Intelligent Mining of Manufacturing Incidents Using Spark NLP





Accelerating Biomedical Innovation by Combining NLP and Knowledge Graphs






Automated question answering about clinical guidelines











Applying State-of-the-art Natural Language Processing for Personalized Healthcare





Extracting what, when, why, and how from Radiology Reports in Real World Data acquisition projects





Using NLP to Improve Radiologist Productivity & Reduce Burnout



Building a Better Patient Chart: Combining structured, unstructured, and missing data










Automated Detection of Environmental, Social, and Governance Issues in Financial Documents






Automated and Explainable Deep Learning for Clinical Language Understanding at Roche








Automating PHI Removal from Healthcare Data With Natural Language Processing








Improving Drug Safety With Adverse Event Detection Using NLP








Building, Analyzing and Querying Biomedical Knowledge Graphs using Graphster




