Artificial Intelligence in XPRIZE DeepQ Tricorder

By Edward Y. Chang, Meng-Hsi Wu, Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou. 2017

15 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Hao-Cheng Kao
2. Edward Y. Chang
3. Kai-Fu Tang
4. Chao Yu

Citations in the corpus

• DeepQ: Advancing Healthcare through Artificial Intelligence and Virtual Reality (2017, unknown): “deep architecture that powers DeepQ Tricorder [2] is also applied to power Aristo [9], an AR platform Ed’s team launched in 2016 to support immersive augmented reality.”
• Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning (2018, methodology): “The user interface of our DeepQ Tricorder (Chang et al. 2017) benefits from this body-partgrouping method.”