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 strategies based on real-time data and patient profiles. We’ll discuss practical use cases, ethical considerations, and the evolving role of clinicians in an AI-augmented healthcare environment. The goal is to understand how generative AI can be integrated into routine practice to improve efficiency, precision, and patient outcomes.
Summary Listen
- 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.
- LLMs store vast knowledge bases and generate content specific to prompts, which is valuable for healthcare research. With the increasing digitization and data collection in hospitals, localized LLMs can analyze patient history, disease patterns, and generate insights. Tools like Med-PaLM (a Google Research LLM) and BioGPT specialize in health databases, assisting with diagnosis by reading medical journals and providing fact-based assistance.
- The presentation showed real-world applications of AI in medical diagnosis, utilizing platforms like Med-PaLM and Hugging Face. Medical professionals can leverage Hugging Face to build customized applications. The session also showcased the use of tools like ChatGPT-4 and Microsoft Co-pilot in analyzing medical images (X-rays and MRIs), assisting in diagnosis, suggesting treatments, and providing detailed reports.
- The evolution of AI is projected to significantly impact the healthcare sector, including improved clinical diagnosis, personalized medicine, and remote patient support. While embracing AI's potential, the presentation emphasizes the importance of data privacy, ethical practices, and the ongoing relevance of human expertise to maintain patient trust and confidence in medical care.
Sample Certificate
About the Speakers
Dr. Rajendra Patil
Director, PITASYS Software Pvt Ltd, Mumbai
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