How can healthcare professionals harness the potential of AI while safeguarding patient privacy?

AI is creating new opportunities to improve healthcare delivery, support clinical decision-making, and enhance patient care. However, concerns around ethical use of sensitive health information can make healthcare professionals cautious about embracing these technologies. Understanding how to address these concerns is key to unlocking AI's potential in healthcare.

Join us for an insightful session on Ethics, Privacy, and Protecting Patient Data in AI, where we will explore the ethical considerations surrounding AI adoption, ways to safeguard patient information, and the practices that can help healthcare professionals integrate AI responsibly and confidently into healthcare settings.

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Agenda for the session

  • Ethical Considerations in Healthcare AI
  • Patient Data Privacy and Confidentiality
  • Responsible AI Adoption and Governance
  • 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 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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