Ken C. L. Wong, Elena S. Sinkovskaya, et al.
SPIE Medical Imaging 2021
The field of diagnostic decision support in radiology is undergoing rapid transformation with the availability of large amounts of patient data and the development of new artificial intelligence methods of machine learning such as deep learning. They hold the promise of providing imaging specialists with tools for improving the accuracy and efficiency of diagnosis and treatment. In this article, we will describe the growth of this field for radiology and outline general trends highlighting progress in the field of diagnostic decision support from the early days of rule-based expert systems to cognitive assistants of the modern era.
Ken C. L. Wong, Elena S. Sinkovskaya, et al.
SPIE Medical Imaging 2021
Anup Pillai, Amin Katouzian, et al.
SPIE Medical Imaging 2019
Allen Lu, Ehsan Dehghan, et al.
ISBI 2018
Yufan Guo, Deepika Kakrania, et al.
AAAI 2017