...Li Guo; Anas M. Tahir; Dong Zhang; Z. Jane Wang; Rabab K. Ward The increasing demand for medical imaging has surpassed the capacity of available radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence (AI) techniques, particularly in automatic medical report...

... learning machine learning artificial intelligence data mining Research on graph representation learning has gained more and more attention in recent years since most real-world data can be represented by graphs conveniently. Examples include social networks [ 1 ], linguistic (word co-occurrence...

...://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited Deep learning Computer vision Artificial intelligence Computer vision (CV) and natural language processing (NLP) are two most fundamental...

... voice, Diseases classification, Acoustic signal, Medical record, Artificial intelligence Deep learning technology has shown excellent performance in a wide variety of practical applications (e.g. energy [ 1 , 2 ], aviation [ 3 , 4 ], software [ 5 , 6 ], traffic [ 7 – 10 ], etc...

...Kar-Han Tan; Boon Pang Lim In this paper we look at recent advances in artificial intelligence. Decades in the making, a confluence of several factors in the past few years has culminated in a string of breakthroughs in many longstanding research challenges. A number of problems that were...