Seminars in ultrasound, CT, and MR
Feb 23, 2024
Artificial intelligence's (AI) emergence in radiology elicits both excitement and uncertainty. AI holds promise for improving radiology with regards to clinical practice, education, and research opportunities. Yet, AI systems are trained on select da...
Seminars in ultrasound, CT, and MR
Dec 9, 2023
To assess point-of-care ultrasound (POCUS) in 2024, we should start by defining its expanded scope and integration into general and specialty practice. Clinicians should abide by the evolving evidence for POCUS utilization and patient outcomes differ...
Seminars in ultrasound, CT, and MR
Mar 24, 2023
The latest evolutions in Computed Tomography (CT) technology have several applications in oncological imaging. The innovations in hardware and software allow for the optimization of the oncological protocol. Low-kV acquisitions are possible thanks to...
Seminars in ultrasound, CT, and MR
Dec 26, 2022
This topical review is focused on the clinical breast x-ray imaging applications of the rapidly evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be used for breast cancer risk estimation that could allow f...
Seminars in ultrasound, CT, and MR
Feb 12, 2022
Seminars in ultrasound, CT, and MR
Feb 11, 2022
Natural language processing (NLP) is focused on the computer interpretation of human language and can be used to evaluate radiology reports and has demonstrated useful applications in essentially all aspects of medical imaging delivery: interpretatio...
Seminars in ultrasound, CT, and MR
Feb 11, 2022
Artificial intelligence (AI) can be applied to head and neck imaging to augment image quality and various clinical tasks including segmentation of tumor volumes, tumor characterization, tumor prognostication and treatment response, and prediction of ...
Seminars in ultrasound, CT, and MR
Feb 11, 2022
Artificial intelligence has become a popular field of research with goals of integrating it into the clinical decision-making process. A growing number of predictive models are being employed utilizing machine learning that includes quantitative, com...
Seminars in ultrasound, CT, and MR
Feb 11, 2022
Deep Learning (DL) algorithm holds great potential in the field of stroke imaging. It has been applied not only to the "downstream" side such as lesion detection, treatment decision making, and outcome prediction, but also to the "upstream" side for ...
Seminars in ultrasound, CT, and MR
Feb 11, 2022
Machine learning is becoming increasingly important in both research and clinical applications in radiology due to recent technological developments, particularly in deep learning. As these technologies are translated toward clinical practice, there ...