A recent burst in artificial intelligence has brought computer science into medicine deeper than ever. For the first time in ages, doctors could turn to machine learning algorithm for clinial advice or even decisions. Diagnostic errors are reduced, inefficient workflows are transformed and resources are saved. However, the next generation biomedical practicers are faced with the giant challenge to build up robust and interpretable AI systems for health care. Also, several limitations like bias, privacy and security have to be overcome to achieve equality between patients and clinicians. The mission of HopAI is to facilitate both scientific research and public awareness of AI, and I'm excited to be part of this exciting era.
-Wang Xi, PhD Student at Johns Hopkins University