Healthcare

Policy Reporter is in a unique position to provide accurate and comprehensive answers about various sectors of the healthcare market. They turned to KUNGFU.AI for AI help and guidance.

KUNGFU.AI built, trained, and deployed a Named Entity Recognition model using spaCy which improved the insurance claims process as well as provide input for additional prediction tasks benefiting patients, hospitals, insurance providers, and financial institutions.

Built machine learning-based system to efficiently and accurately identify best donor match from thousands of online DNA profiles for biotech company that develops high speed DNA sequencers and software.

This is some text inside of a div block.

Companies with years of data locked in legacy documents can now extract and use that data to fuel competitive advantage.

Summarization using natural language processing provides concise and descriptive summaries of long pieces of content, boosting efficiency and knowledge sharing.

Reading comprehension can review and understand that text, allowing you to mine for the insights you need.

Predict a positive or negative sentiment score from given text. Explain the sentiment score by highlighting the words that contributed to the prediction.

Extract people, places, organizations, dates, money and many other entities from given text.

Computer vision is used to detect people and identify key points (e.g. head, shoulder, body, hands, feet) and poses, enabling many applications such as gaming, sports analytics, and gesture control.