AI Trends in Healthcare: Advances, Opportunities and Safeguards
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Science and Machine Learning |
INDUSTRY | Health and Life Sciences, Public Sector |
TECHNOLOGIES | AI/Machine Learning, Delta Lake, GenAI/LLMs |
SKILL LEVEL | Intermediate |
DURATION | 40 |
The latest developments in AI have brought tremendous benefits across industries and applications. Healthcare remains a field of key importance in this era of AI, both for its potential to assist patients, clinicians, and hospitals in high-stakes situations and for its challenges and risks regarding data integrity, patient privacy, regulatory requirements, and model implementation. This session covers key trends for big data and AI in healthcare in 2024: the latest developments in AI for large-scale health applications, the vast opportunities for technology to advance the health system, risks and constraints that need to be addressed, and the safeguard mechanisms every health data science team should establish to ensure the secure, responsible, and successful use of AI.
SESSION SPEAKERS
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Joe Ellis
/Director, Data Science
Optum