Explore how artificial intelligence is changing cancer care and what it means for the future of precision oncology.

A professor and researcher who studies AI and health care analytics explains why AI’s growth will be gradual, and how technical limitations and ethical concerns stand in the way of AI’s widespread ...

Researchers from Denmark and the United States have developed a powerful new artificial intelligence system that can predict ...

Subgraph pattern matching is fundamental to graph analytics and has wide applications. Unfortunately, high computational complexity limits the robustness guarantees of existing algorithms: they do not ...

Suffice to say that health care’s transition to AI will be incremental. Emerging technologies need time to mature, and the short-term needs of health care still outweigh long-term gains. In the ...

The coordinated matching process is a most challenging task in a present NIDS system over the increase in malicious attacks. Many digital systems have been invented to accommodate increased network ...