Generative AI-Powered Clinical Decision Support: From Diagnosis to Personalization

CASE DISCUSSION

Generative AI-Powered Clinical Decision Support: From Diagnosis to Personalization

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Case Description

Generative AI is rapidly transforming the landscape of clinical decision-making, offering powerful tools to support physicians across the care continuum. This session explores how AI-driven systems can enhance diagnostic accuracy, assist in differential diagnosis, and personalize treatment...

Case Summary

  • Generative AI emerged in 2011 and gained significant traction after Microsoft's support of OpenAI, leading to the development of AI-based technologies that are now dominating the healthcare industry. AI is not just about chatbots; it involves systems that make decisions, act rationally, and leverage knowledge in the healthcare sector. The agenda focuses on clinical decision support systems, specialized large language models (LLMs), the role of generative AI in diagnostics, personalized statements, and the challenges and future of AI in healthcare.

Speaker Profile

Dr. Rajendra Patil

Dr. Rajendra Patil

Director, PITASYS Software Pvt Ltd, Mumbai