About
Dr. Hudson Smith is an Assistant Professor in the Department of Mathematical and Statistical Sciences at Clemson University and Co-Lead of the Clemson/MUSC Artificial Intelligence Hub. His research focuses on developing machine learning techniques for healthcare applications, with particular emphasis on medical imaging. Dr. Smith has established significant research partnerships with Prisma Health and MUSC, leading to progress in automated quality assessment of medical imaging and diagnostic tools. His work includes developing AI-based quality assessment tools for focused abdominal sonography for trauma (FAST) examinations and automated identification of patent ductus arteriosus using computer vision models.
Visit Dr. Hudson's Faculty Profile.
How their research is transforming health care
Dr. Smith’s research is transforming healthcare through the integration of artificial intelligence with clinical practice through medical imaging analysis and clinical decision support. Through collaborations with Prisma Health and MUSC, he is helping to develop AI systems that enhance the quality and efficiency of medical diagnostics while maintaining the critical role of healthcare practitioners.
Health Research Expertise Keywords
Medical Image Analysis, Clinical Decision Support Systems, Quality Assessment, Cardiac Imaging, Deep Learning
