… AI is beginning to change medical imaging services and the innovations … machine learning,
will challenge the way medical imaging is delivered from workflow, image acquisition, image …

… human intelligence. Machine and deep learning algorithms are subsets of AI and their
applications in medical imaging practice is … in medical imaging practice such as reduced rates of …

… These feats are mostly accomplished through Machine Learning, the form of AI which we …
applied in Medical Imaging, starting from the first applications, in which the image processing …

… Much of the digital data generated in health care can be used for building automated …
applications in medical imaging practice and provides a view of how diagnostic imaging suites will …

… , artificial intelligence (AI) is the most discussed topic today in medical imaging research,
both in diagnostic and … How to organize the data generated from different practices in a more …

… Thus, physicians (ie, we say here radiologists) remain essential for medical practice, because
ingenuity in medicine requires unique human characteristics [40, 68]. If the time needed …

… The potential of AI increases if we consider the current limitations on imaging in practice.
Complex systems such as MRI scanners are operated by human technologists who may be …

… the clinical potentials of artificial intelligence (AI) in medical imaging practice to improving
patient … of radiographers relating to the integration of AI in medical imaging practice in Africa. …

This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making …
to the application of machine learning and deep learning in modern medical image analysis. …

… The medical community has taken advantage of these extraordinary developments in order
… get the most of medical images, automating different steps of the clinical practice or providing …