Abstract 

In this presentation, we will explore the transformative impact of generative AI in healthcare, focusing on its role in enhancing diagnostic precision, accelerating medical decision-making, and improving patient care. Drawing from our experiences at Changhua Christian Hospital, we will discuss AI applications in medical imaging, where it enhances diagnostic accuracy, pathology, where it identifies Lymphovascular invasion (LVI) patterns, and vocal cord anomaly management, where it provides innovative diagnostic and treatment solutions.

We will highlight our use of open-source large language models in a locally deployed system to develop applications like the weekly summary note, which automates the generation of concise and accurate patient record summaries, improving documentation efficiency and accuracy.

Additionally, we will discuss AI integration into clinical workflows, including optimizing ventilator weaning support and an early warning system for urinary tract infection in hospitalization, where AI offers data-driven insights that improve patient outcomes. We will address the challenges encountered during AI integration, such as data quality, workflow integration, and clinician adoption, and share our strategies for overcoming these hurdles. By the end of this talk, attendees will gain a clear understanding of how generative AI, especially through locally deployed open-source models, is revolutionizing healthcare, leading to more efficient, precise, and patient-centered care.
 

Biography 

Dr. Tien-Hsiung Ku is an anesthesiologist and researcher in the field of medical informatics and bioinformatics. Since 1987, he has dedicated his career to providing exceptional medical care and contributing to the advancement of medical knowledge at Changhua Christian Hospital in Taiwan.

In 2004, Dr. Ku earned a master's degree in computer science from Asia University. Equipped with a unique blend of medical expertise and computer science knowledge, he delved into the emerging fields of medical informatics and bioinformatics. He achieved a significant milestone by successfully conducting the first complete genome analysis of bacteria Morganella Morganii. 

Dr. Ku's research interests expanded to encompass the analysis of heart rate variability and blood pressure prediction with deep learning method. 

Dr. Ku currently serves as the director of the Artificial Intelligence Development Center in Changhua Christian Hospital. In this capacity, he leads a team of brilliant minds dedicated to leveraging the power of artificial intelligence to revolutionize healthcare and improve patient outcomes.