AI with Surgical Impact

Some of the most compelling and important research problems originate from real-world issues and challenges. Such is the case for Qixing Huang, an associate professor in Computer Science whose research spans computer vision, computer graphics, and machine learning in the development of 3D generative models. On a trip to China, while giving a talk at a hospital in his hometown, Huang met a surgeon who brought up the topic of surgically correcting hand differences – such as the presence of more than five fingers on a hand – and a research problem was born. Today, the estimated rate of congenital hand differences in newborns is between 0.4% – 0.8%. For these children, effective surgeries after birth are critical.  

Read the full article at Texas AI