Nov 5 (Thu) 13:30-15:00 / Room D (Hyatt Regency)

Korean

Hyung-Chul Lee (Seoul National University)

Artificial intelligence is rapidly transforming anesthesiology and critical care through the integration of large-scale clinical data and physiological signals. This session will introduce practical applications of AI in perioperative medicine, including predictive analytics, clinical decision support, physiological foundation models, and multimodal healthcare data platforms. We will also discuss how generative AI and AI agents can support clinical workflows, research, and education, as well as the key challenges in developing trustworthy, safe, and clinically deployable AI systems. The session is intended for clinicians and researchers interested in translating AI from research into everyday clinical practice.

Nov 5 (Thu) 15:00-17:00 / Room D (Hyatt Regency)

Korean

Sung-Hoon Kim (University of Ulsan)

Explore a practical roadmap for clinician-led medical device innovation, covering product development and securing government R&D funding to commercialization strategies. Anesthesiologists can actively participate in medical device research and development because we not only understand the physiological mechanisms of various equipment, but also are best aware of the unmet needs in the clinical field as end-users. This session will explore the role of anesthesiologists in the medical device development process through real-world case studies, while sharing practical experience and strategies for securing and managing government-funded medical device R&D projects, including both individual and collaborative grants supported by various government ministries.

Nov 6 (Fri) 09:00-10:30 / Room D (Hyatt Regency)

English

Dieter Adelmann (University of California, San Francisco)

Transplant anesthesia is a small subspecialty in which randomized trials are challenging to conduct, and practice varies widely across institutions, making it difficult to generate high-quality evidence. This session traces a practical path for building that evidence: starting with a simple, single-center quality database, growing it into an institutional data warehouse, and scaling up to national multicenter collaborations through the Society for the Advancement of Transplant Anesthesia (SATA) liver transplant database and the Multicenter Perioperative Outcomes Group (MPOG). The focus is on how to get started in building research infrastructure for a niche specialty like transplant anesthesia, and how each project can provide reusable resources for the next research question.

Nov 6 (Fri) 11:00-12:30 / Room D (Hyatt Regency)

English

Ke Yuhe (Singapore General Hospital)

The session will cover the integration of Large Language Models (LLMs) and agentic AI systems into anaesthesiology and perioperative workflows. The discussion will aim to bridge the gap between AI development and clinical utility, emphasizing how these tools can augment decision-making while maintaining high standards of patient safety.

Nov 6 (Fri) 13:30-15:00 / Room D (Hyatt Regency)

English

Miles Berger (Stanford University School of Medicine), Lis Evered (University of Melbourne)

In this session, Drs. Berger and Evered will answer questions from the audience about perioperative neurocognitive disorders and will discuss methods to improve postoperative neurocognitive outcomes for our older patients undergoing anesthesia and surgery. Drs. Berger and Evered will each offer insights on this topic and related questions based on their research in this area.

Nov 6 (Fri) 15:30-17:00 / Room D (Hyatt Regency)

English

Ki Jinn Chin (Toronto Western Hospital, University of Toronto)