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Medical AI Applications Blog

Case Studies and Lessons Learned from Applying AI in Healthcare and Pharma.

Large-scale data de-identification enables healthcare data monetization

Healthcare providers and well-established players in the healthcare space possess vast amounts of unstructured patient-level data. This data has tremendous value, yet it stays primarily untapped due to the sensitivity...

Detecting Undiagnosed Conditions and Automating Medicare Risk Adjustment

Structured ICD-10 diagnosis codes exist primarily for submitting claims for reimbursement. A far more comprehensive portrayal of patient health history and conditions exists in the unstructured, narrative text. Extracting conditions...

Building Patient Cohorts with NLP and Knowledge Graphs

Cohort building is an essential part of patient analytics. Defining which patients belong to a cohort, testing the sensitivity of various inclusion and exclusion criteria on sample size, building a...

Azure Databricks and John Snow Labs Data Science Workshop

In this webinar, Juan Martinez, our Spark NLP Sr. Data Scientist and Financial / Legal NLP lead, talked about the Oncology and De-identification Solution Accelerators in Databricks, and how as...