CASE DISCUSSION
Generative AI-Powered Clinical Decision Support: From Diagnosis to Personalization
Presented by Dr. Rajendra PatilViews
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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
Director, PITASYS Software Pvt Ltd, MumbaiDisclosures
Assimilate requires every individual in a position to control educational content to disclose all financial relationships with ineligible companies that have occurred within the past 24 months. Ineligible companies are organizations whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients. All relevant financial relationships for anyone with the ability to control the content of this educational activity have been reviewed and mitigated. Others involved in the planning of this activity have no relevant financial relationships.