Presented By: Biomedical Engineering
Biomedical Engineering Seminar Series
Advancing Healthcare Through AI and Machine Learning Innovations, with Joyce Yan-Ran Wang, Ph.D.

Advancing Healthcare Through AI and Machine Learning Innovations
Abstract:
Healthcare constitutes nearly one-fifth of the U.S. economy and approximately 10% of the global economy, yet it faces profound challenges, including inequitable access, an aging population, and rising per capita costs. These factors underscore the urgent need for innovative solutions. In this talk, we will present how artificial intelligence, driven by the urgent needs of healthcare, is advancing both clinical and technological frontiers. I will share our work on medical image reconstruction, MRI-based automated diagnosis, and AI-powered precision medicine solutions. These applications are built on specialized deep learning algorithms, such as video-based AI and longitudinal imaging reasoning, with a focus on integrating biological complexities into their design. By bridging engineering principles with clinical applications, we aim to transform medical diagnostics and treatment while broadening AI's impact across disciplines, paving the way for more effective and accessible healthcare solutions.
Abstract:
Healthcare constitutes nearly one-fifth of the U.S. economy and approximately 10% of the global economy, yet it faces profound challenges, including inequitable access, an aging population, and rising per capita costs. These factors underscore the urgent need for innovative solutions. In this talk, we will present how artificial intelligence, driven by the urgent needs of healthcare, is advancing both clinical and technological frontiers. I will share our work on medical image reconstruction, MRI-based automated diagnosis, and AI-powered precision medicine solutions. These applications are built on specialized deep learning algorithms, such as video-based AI and longitudinal imaging reasoning, with a focus on integrating biological complexities into their design. By bridging engineering principles with clinical applications, we aim to transform medical diagnostics and treatment while broadening AI's impact across disciplines, paving the way for more effective and accessible healthcare solutions.