Join our live webinar to explore what it truly takes to scale AI in healthcare. While AI adoption continues to accelerate across the industry, the real challenge lies in moving beyond experimentation and embedding AI solutions sustainably, securely, and effectively into healthcare systems.
This session will unpack the key clinical and operational barriers to scaling AI, proven strategies for successful deployment, high-impact use cases across care delivery and operations, and the governance and change management frameworks required for responsible adoption.
Agenda for the session
- Scaling barriers in healthcare AI
- From pilot to enterprise AI
- High-impact AI opportunities
- Responsible AI governance & change
About Speakers
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Sharath M S
Staff AI Engineer, GE HealthCare
Sharath M S is a Staff AI Engineer at GE HealthCare, where he is part of the Advanced Technology Group (ATG), working on cutting-edge AI initiatives. He has extensive experience across healthcare, telecom, and research-focused startups. Prior to GE HealthCare, Sharath served as a Senior Data Scientist at Ericsson, working on core machine learning research areas including active learning, time-series forecasting, anomaly detection, and generative AI, while contributing to critical AI adoption decisions.
AI in Healthcare Program
The AI in Healthcare Program by Johns Hopkins University is a 10-week online program that helps healthcare professionals apply AI to real-world challenges. With flexible video lectures, mentored learning, live faculty masterclasses, and 8+ case studies, the program builds skills in areas like decision support systems and personalized medicine. Participants earn a Certificate of Completion and 6 CEUs from Johns Hopkins University, upon successful completion of the program.
