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Abstract

The impact of data quality and quantity (on modeling) is always critical, no matter in traditional statistics or machine learning (deep learning).

Data privacy is always the top consideration for digital health and health informatics. However, it becomes a significant obstacle when it comes to AI model development, protected and restricted by regulations such as “right to explanation” from GDPR. Join us in discovering a new way to develop better interpretable AI while keeping data privacy.

We will also provide you an AI platform that provides an efficient and economical way to speed up your development time or give you an easy way to rapid assessment of clinical data — designed exclusively for data scientists, software engineers, and doctors.

 

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Speakers

Senior Engineer
AI Researcher Future Technology Research & Development Department
Chief Engineer
Operating Officer Digital Development Business Unit
Chief Medical Information Officer
CHOC Children's

Supporting Partners