AI is no longer a future possibility in healthcare. It is already transforming how clinical, operational, and administrative workflows are managed, and the organizations that move strategically are seeing real results. But knowing where to start and how to scale is where most initiatives stall.
Join us for a live webinar where we break down the highest-impact AI use cases in healthcare, what it takes to implement them successfully, and how to build a practical roadmap for scaling AI across your organization.
Agenda for the session
- High-impact AI use cases
- Key enablers for scaling AI
- Real-world implementation strategies
- Roadmap for adopting and scaling AI
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 and Agentic AI in Healthcare Program
Designed by Johns Hopkins University faculty, the 10-week AI and Agentic AI in Healthcare program equips healthcare professionals with the knowledge to lead AI transformation, no programming experience required. The curriculum explores AI and machine learning fundamentals, intelligent decision support systems, population health, business strategy, Generative AI, and Agentic AI applications in healthcare. With 8+ healthcare-focused case studies and 3 exclusive live masterclasses, participants gain practical insights to evaluate, implement, and integrate AI into healthcare workflows.
