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Medical AI Applications Blog

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

Bringing AI to eTMF systems: setup advanced eTMF automation with AI and NLP

Clinical trials are among the most time-consuming administrative endeavors in the business world. Any technology that enables these trials to be conducted more efficiently while improving their quality is wholeheartedly...

Building Real-World Healthcare AI Projects from Concept to Production

In this Webinar, Juan Martinez from John Snow Labs and Ken Puffer from ePlus will share lessons learned from recent AI, ML, and NLP projects that have been successfully built...

Mining Adverse Drug Reactions from Unstructured Mediums at Scale

Adverse drug reactions / events (ADR/ADE) have a major impact on patient health and health care costs. Detecting ADR’s as early as possible and sharing them with regulators, pharma companies,...

State-of-the-Art Healthcare NLP in 1 Line of Code – Ai4 Healthcare Summit 2022

Transfer learning and deep learning unblocked new levels of accuracy for many medical natural language processing tasks. The session shares the current state-of-the-art accuracy on the most widely used healthcare...

Clinical Data Abstraction from Unstructured Documents Using NLP

Creating large-scale structured datasets containing precise clinical information on patient itineraries is a vital tool for medical care providers, healthcare insurance companies, hospitals, medical research, clinical guideline creation, and real-world...