Agentic AI is gaining momentum in healthcare, with 85% of healthcare technology executives surveyed by Deloitte planning to increase their investment in the technology over the next two to three years. This signals a growing shift toward AI systems that can plan and carry out multi-step tasks across clinical and administrative workflows.


Join us for an exploration of how Agentic AI is shaping the future of healthcare, the opportunities it presents for healthcare professionals, and the considerations surrounding its responsible adoption. Discover emerging applications, understand the evolving role of human oversight, and explore how you can build the awareness and skills needed to navigate this next wave of healthcare innovation.

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Agenda for the session

  • Agentic AI in Healthcare
  • Emerging Use Cases
  • Responsible AI Adoption
  • Preparing for the Future of Healthcare AI

About Speakers

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.

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