… from basic film radiography to sophisticated digital imaging modalities. … As we peer into
the future, several key areas of development and … heights. AI algorithms, capable of rapid …

… This paper proposes three pathways for AI's role in radiology beyond current CNN based
capabilities 1) improve the performance of CAD, 2) improve the productivity of …

… Radiomics: Involves the extraction of features from diagnostic images to measure specific
parameters. Hundreds of features can be analyzed by AI systems from a given ROI, far beyond …

… radiology (IR) as well, though to a lesser extent. This article will summarize the role of AI in
radiology … adapted to regular signals such as images in radiology. A simple CNN contains five …

… images with deep learning methods. Material and Methods: In our study, more than 500 adult
retrospective panoramic radiography images … All images have been rechecked and verified …

… the number of radiologists needed in the future. Approximately 50… In 2016, Geoffrey Hinton,
a famous computer scientist, said “we … Pre-clinical radiology lectures were the most prevalent …

… including the small bowels, beyond the reach of conventional … excreted or not detectable on
radiography in the small bowel … token, in the future endoscopic molecular imaging may help …

… Many of our homes in the future may have a “smart medical suite” as well as a “smart home
… A nurse navigator coordinates all care including later follow-up care in radiology and the …

… the future of diagnostic and interventional radiology, giving … the role of radiologists extends
beyond image interpretation, … of image-guided medical interventions (interventional radiology)…

… real-time volumetric anatomic imaging, addressing image distortion because of magnetic …
imaging across different MRI systems, and biologic validation of quantitative imaging. This …