Join our live webinar to explore how artificial intelligence is helping healthcare professionals address real-world challenges and improve patient care across global health systems. As AI adoption continues to grow, clinicians and healthcare leaders must balance innovation with practical implementation across diverse care settings.
This session will explore how AI is transforming healthcare delivery, diagnostics, and patient outcomes. We will also discuss key healthcare challenges where AI can deliver measurable impact, practical approaches to responsible implementation including ethics, data governance, and scalability, and the importance of cross-sector collaboration to accelerate innovation in global healthcare.
Agenda for the session
- Healthcare challenges and solutions
- Responsible AI: ethics and governance
- Collaboration for global innovation
- Live Q&A session
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 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.
