Doctor AI

hen faced with medical issues, would you want to be seen by a human or a machine? In this episode, guest Edward Choi, co-author of the study titled [Doctor AI: Predicting Clinical Events via Recurrent Neural Network](https://arxiv.org/pdf/1511.05942.pdf) shares his thoughts. Edward presents his team’s efforts in developing a temporal model that can learn from human doctors based on their collective knowledge, i.e. the large amount of Electronic Health Record (EHR) data.

Guest

Edward Choi: Edward Choi is an Associate Professor at the Kim Jaechul Graduate School of AI at KAIST, where his research focuses on artificial intelligence and deep learning, particularly applications in healthcare. Before joining KAIST in 2020, he worked at Google Health Research, developing machine learning methods for electronic health records, and previously conducted research at Google Research, DeepMind, and Sutter Health. His work has explored interpretable deep learning, healthcare prediction, natural language processing, reinforcement learning, and neural network design. Choi earned his Ph.D. in Computer Science from Georgia Tech, an M.S. in Computer Science from KAIST, and a B.S. in Computer Science and Engineering from Seoul National University.