Solving for Infrastructure Through the Cloud in Healthcare AI Implementation
Toronto Machine Learning Series (TMLS) via YouTube
Overview
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Explore a conference talk that delves into the challenges of implementing AI algorithms in healthcare settings. Learn about the "implementation gap" that prevents many AI solutions from reaching frontline decision-makers and clinicians, impacting their potential to improve patient care. Discover the various factors contributing to this gap, including problem misalignment, design flaws, data access issues, inadequate infrastructure, and algorithm degradation over time. Gain insights from two experienced professionals in the field: Farbod Abolhassani, a Data Scientist and Technology Leader, and Jonathan Ranisau, a Project Lead specializing in healthcare analytics. Understand how cloud-based solutions can address infrastructure challenges and potentially bridge the gap between AI development and real-world healthcare applications.
Syllabus
Solving for Infrastructure Through the Clo
Taught by
Toronto Machine Learning Series (TMLS)