AI and Machine Learning for Healthcare

Artificial intelligence (AI) and machine learning (ML) in the healthcare sector are a rapidly expanding and promising field. The marriage of technology and health has the potential to empower medical professionals and patients alike while drastically cutting the cost of healthcare. Using a measured no-hype approach, this video will help technology entrepreneurs, product managers, and health care executives understand what can be done with AI and ML in healthcare today and what concepts are most crucial for producing valuable applications in the near future.

Understand the basics of putting together a health-tech data pipeline from raw datasets.
Learn how pipelines turn unstructured data (eg medical records and open ended surveys) into inputs for modeling and metrics.
Explore the uncontrolled learning methods that search for new insights in large health datasets
Understand the prediction and classification methodologies for individual and population health levels
Get up-to-date on Assist-AI in health-related user interactions and clinical decision making
Becoming aware of data challenges inherent in many scenarios within healthcare applications