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AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

In this talk, we will cover how to extract entities from text using both rule-based and deep learning techniques, and build a knowledge graph of these entities. We will cover...

There are tremendous research benefits of linking de-identified patient records to get a holistic patient view especially for studies related to drug development and patient outcomes. Today, most research data...

Unstructured free-text medical notes are the only source for many critical facts in healthcare. As a result, accurate natural language processing is a critical component of many healthcare AI applications...

Radiology is a key diagnostic tool for many diseases and has an important role in monitoring treatment and predicting outcomes which have led to an increase in diagnostic imaging demands....

Being updated about the best practices related to the care of patients is currently a challenge for clinicians. Many healthcare organizations develop internal clinical guidelines with the aim of harmonizing decision...