Overview of how Large Language Models (LLMs) work in medical workflows, the role of AI agents, and real-world applications in medicine such as clinical note summarization, literature review, patient communication, and diagnosis support.
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Large Language Models (LLMs) and AI Agents are transforming healthcare by automating tasks, supporting diagnosis, and accelerating research.
🔹 What you’ll learn: How LLMs work in medical workflows What AI agents are and how they extend LLMs Real-world applications: clinical note summarization, literature review, patient communication, and diagnosis support
Example: A patient with chest pain — the LLM summarizes history, the AI agent pulls labs, checks guidelines, and drafts a clinical note.
Agenda: (PDT) 11:00 am - 11:05 am Arrival and socializing and Opening (PDT) 11:05 am - 1:00 pm "LLMs & AI Agents in Medicine" (PDT) 1:00 pm - 1:10 pm Q&A
About Dr. Yasin Ceran:
Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. He is currently an associate professor at KAIST, South Korea, as well as teaching at San Jose State University at the heart of Silicon Valley. Yasin has worked rigorously on an array of data-related projects encompassing data mining, statistics, modeling, and is dedicated to sharing his experience and expertise with learners.
Please register using the zoom link to get a reminder:
https://us02web.zoom.us/webinar/register/3317557643700/WN_jLHuyEVvT7awEbZIpjJTag
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