CASE DISCUSSION
Generative AI-Powered Clinical Decision Support: From Diagnosis to Personalization
Presented from by Dr. Rajendra Patil
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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, MumbaiDr. Rajendra Patil, Director of PITASYS Software Pvt. Ltd., Mumbai. With a unique blend of clinical insight and technological expertise, Dr. Patil has been instrumental in developing healthcare-focused software solutions aimed at improving clinical efficiency and decision-making. His work bridges the gap between medicine and digital innovation, with a focus on creating tools that support evidence-based practice and healthcare automation. As a leader in health tech, Dr. Patil brings valuable perspectives on the integration of software systems in modern medical practice.