Hongtu Zhu, PhD
Professor, Department of Biostatistics
Universtiy of North Caronila, Chapel Hill Gillings School of Global Public Health
Title: Revolutionizing Medical Image Data Analysis: Uniting AI and Statistics for Breakthroughs and Challenges
Abstract: This talk provides an insightful overview of integrating artificial intelligence (AI) and statistical methods in medical image data analysis. It is structured into three key sections:
Introduction to Medical Image Data Analysis: This section sets the stage by outlining the fundamentals and significance of medical image analysis in healthcare, charting its evolution and current applications.
State-of-the-Art AI Applications and Statistical Challenges: Here, we explore the impact of AI, particularly deep learning, on medical imaging, and address the accompanying statistical challenges, such as data quality and model interpretability.
Opportunities for Statisticians: The final section highlights the critical role of statisticians in refining AI applications in medical imaging, focusing on opportunities for advancing algorithmic accuracy and integrating statistical rigor.
The talk aims to demonstrate the crucial synergy between AI and statistics in enhancing medical image analysis, emphasizing the evolving challenges and the vital contributions of statisticians in this domain.