Abstract

The rise of generative AI in healthcare is redefining patient care, disease diagnosis, and treatment outcomes, marking a new era of medical innovation and cross-disciplinary collaboration. This speech delves into the transformative impact of multimodal generative AI in the healthcare domain, with a particular focus on its applications in stroke care and home healthcare.

Multimodal AI integrates various data types, such as imaging, lab results, and electronic health records, to provide a comprehensive patient assessment. It enhances diagnostic accuracy, facilitates anomaly detection, and streamlines diagnostic processes, thereby improving the efficiency of healthcare professionals. This speech will highlight how generative AI manages complex multimodal datasets to assist in medical diagnosis and decision-making, particularly in the early identification and personalized treatment plans for stroke patients.

We will explore practical case studies demonstrating how multimodal generative AI has achieved breakthroughs in early disease detection and personalized care. These AI systems can identify patterns in medical images that might be missed by the human eye, leading to earlier and more accurate diagnoses. Additionally, we will discuss how these AI tools are integrated into clinical workflows to provide real-time decision support, enabling more precise and timely medical interventions, especially in home healthcare settings.

Finally, the speech will examine the strategic applications and operational benefits of multimodal generative AI in clinical practice, including streamlining workflows, reducing diagnostic errors, providing predictive capabilities, and supporting proactive health management, offering new solutions for stroke care and home healthcare.
 

Biography

Dr. Kai-Cheng Hsu is a distinguished neurologist specializing in dementia, stroke, and sleep disorders.He graduated from the National Taiwan University College of Medicine and further pursuedinterdisciplinary studies, earning a PhD in Chemical Engineering and an MS in Electrical Engineeringfrom National Chung Cheng University. From 2018 to 2020, Dr. Hsu was a researcher at the NationalInstitutes of Health (NIH) in the United States, working within the Neurology and Stroke Institute'sInformation and Bioinformatics Division. His expertise spans artificial intelligence, systems biology,biomedical signal processing, and bioinformatics.

Dr. Hsu has extensive practical experience in medical AI, adeptly combining clinical knowledge withadvanced AI technologies to enhance clinical applications. From 2020 to 2023, he served as theDirector of the AI Center at China Medical University Hospital. In this role, he spearheaded thedevelopment of numerous AI tools for clinical implementation and secured TFDA software as amedical device (SaMD) certifications. His work has been widely published in leading academicjournals on medical AI.

In 2024, Dr. Hsu joined the Industrial Technology Research Institute (ITRI) to advance AI research inthe health and medical sectors. His focus includes innovations in medical imaging, biomedical signalprocessing, electronic medical records, and bioinformatics, aiming to push the boundaries ofhealthcare technology.