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Healthcare
Kungfu.ai
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AI Solutions
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Healthcare
case study
Elastic Search and Windowing with Policy Reporter
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.
case study
NLP for Document Integrity
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.
case study
Donor Matching
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.
White paper
Prioritizing Patient Outcomes with Responsible Machine Learning
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AI Demo
Paper2Digital
Companies with years of data locked in legacy documents can now extract and use that data to fuel competitive advantage.
AI Demo
Summarization
Summarization using natural language processing provides concise and descriptive summaries of long pieces of content, boosting efficiency and knowledge sharing.
AI Demo
Reading Comprehension
Reading comprehension can review and understand that text, allowing you to mine for the insights you need.
AI Demo
Explainable Sentiment Analysis
Predict a positive or negative sentiment score from given text. Explain the sentiment score by highlighting the words that contributed to the prediction.
AI Demo
Named Entity Recognition
Extract people, places, organizations, dates, money and many other entities from given text.
AI Demo
Pose Estimation
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.
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