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 & deployed in US hospital systems:

• Improving patient flow forecasting at Kaiser Permanente
• A real-time clinical decision support platform for Psychiatry and Oncology at Mount Sinai
• Automated de-identification of 700 million patient notes at Providence Health 

Then they will showcase a live demo of the recently launched AI Workflow Accelerator Bundle for Healthcare, which provides a complete data science platform including supporting the full AI lifecycle: 

• Data analysis: Enable data analysts to query, visualize & build dashboards without coding  
• Data science: Enable data scientists to train models, share & scale experiments 
• Model deployment options
• Operations: Enable DevOps & DataOps engineers to monitor, secure, and scale 

The bundle is a turnkey solution composed of GPU-accelerated hardware from NVIDIA, proprietary software from John Snow Labs, and implementation services from ePlus. It is unique in providing all of the following healthcare-specific capabilities out of the box: 

• 2,300+ current, clean, and enriched healthcare datasets – from ontologies to benchmarks 
• Spark NLP for Healthcare - the most widely used NLP library in the healthcare industry – along with 250+ pre-trained clinical & biomedical NLP models for analyzing unstructured data 
• Spark OCR - including the ability to read, de-identify, and extract information from DICOM images 
• Security controls implemented within the platform, to enable a team of data scientists to effectively work & collaborate in air-gap, high-compliance environments

We will share speed & accuracy benchmarks measuring the optimization of John Snow Labs’ software and models on the GPU-accelerated Nvidia hardware – and how this translates to enabling your AI team to deliver bigger projects faster.