The combination of Philips’ MR 7700 multi-nuclei scanner with the FDA-approved Xenoview hyperpolarized Xenon magnetic resonance imaging (MRI) contrast agent may facilitate earlier diagnosis and intervention for patients with obstructive lung diseases.

Adjunctive use of an artificial intelligence (AI) software demonstrated nearly equivalent sensitivity and over 28 percent higher accuracy in comparison to radiologist assessment of breast ultrasound images for breast lesions, according to new research presented at the recent Society of Breast Imaging (SBI) conference.

In a recent lecture at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting, Andrew Callen, M.D., discussed a variety of imaging features associated with cerebrospinal fluid (CSF) leaks, the diagnostic utility of the Bern score as well as the merits of 3D T2FS MRI and dynamic computed tomography myelography.

Given the increasing prevalence of breast reconstruction, researchers discussed key signs of common complications on magnetic resonance imaging (MRI), ultrasound and other imaging during a recent presentation at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.

Three-dimensional (3D) slice-to-volume (SVR) fetal magnetic resonance imaging (MRI) has over six times the fetal optic pathway visualization rate of standard two-dimensional MRI, according to new research presented at the American Roentgen Ray Society (ARRS) 2023 Annual Meeting in Honolulu, Hawaii.

In a recent video interview, Kathy Schilling, M.D., discussed findings from a study of ProFound AI, an adjunctive artificial intelligence (AI) software for digital breast tomosynthesis (DBT), that demonstrated a 23 percent increase in breast cancer detection in comparison to DBT alone.

In a video interview at the recent Radiological Society of North America (RSNA) conference, Wayne Dell, M.D., discussed retrospective research that examined the use of hyperlinked multimedia radiology reports across modality and subspecialty five years after initial implementation of the technology at the University of Virginia.

In the second part of a recent interview, Nina Kottler, M.D., M.S., discussed keys to evaluating the potential value of artificial intelligence (AI) systems and emerging developments with AI that were discussed at the recent Radiological Society of North America (RSNA) conference.

In a recent interview from the Radiological Society of North America (RSNA) conference, Mary Yamashita, M.D. discussed a variety of findings from a survey of over 8,000 women about breast density awareness, challenges with current breast density notification after mammography exams, and the ongoing need to educate patients as well as referring providers on breast density awareness.

Catch up on our RSNA 2022 interviews with Tessa Cook, MD, Nina Kottler, MD, Eliot Siegel, MD and more.

In a video interview discussing one of her recent lectures at the Radiological Society for North America (RSNA) conference, Nina Kottler, M.D., M.S., noted how the combination of artificial intelligence (AI) and radiologist experience can help mitigate bias limitations with the development of AI algorithms as well as educational biases inherent to a radiologist’s training and experience.

In an interview at the recent Radiological Society of North America (RSNA) conference, Alex Pozdnyakov, M.D. discussed findings from a new meta-analysis, which revealed that prostate-specific membrane antigen/positron emission tomography (PSMA PET) imaging in patients with prostate cancer recurrence led to treatment changes that resulted in a pooled 60.2 percent rate of prostate cancer-free survival at 20 months.

In a recent interview at the Radiological Society of North America (RSNA) conference, Eliot Siegel, M.D., discussed a variety of potential benefits with cloud-based image management in radiology, ranging from enhanced data security and economies of scale to improved access to a variety of artificial intelligence (AI) solutions to increase efficiency.

In a recent video interview from the Radiological Society of North America (RSNA) conference, Tessa Cook, MD, PhD discussed new research on automated de-identification in radiology reports and the potential of artificial intelligence (AI) and natural language processing (NLP) to help address time-consuming challenges in the radiology workflow.

In a recent video interview, Susan Holley, MD discussed key findings from a large retrospective longitudinal study, presented at the recent Radiological Society of North America (RSNA) conference, which found that an emerging artificial intelligence (AI) model was over 24 percent more consistent than radiologist assessment of breast density.

In a recent lecture at the Radiological Society of North America (RSNA) conference, Wendy DeMartini, MD, discussed a variety of preliminary proposed changes to the Breast Imaging Reporting and Data System (BI-RADS) for breast magnetic resonance imaging (MRI) examinations.

In what may be the first study to assess the effectiveness of biparametric magnetic resonance imaging (MRI) for prostate cancer screening in a large cohort, researchers found that MRI screening had a significantly lower false positive rate and significantly higher positive predictive values (PPVs) than prostate-specific antigen (PSA)-based screening.

In a recent video interview, Raymond Y. Kwong, MD, discussed his clinical experience with the Vista.ai (formerly HeartVista) One Click MRI software and recent research, presented at the Radiological Society of North America (RSNA) conference, that revealed a 31 percent decrease in cardiac MRI scan times for patients with cardiomyopathy or structural heart disease.

The retrospective study involving the use of ultrasound shear wave elastography showed a significant increase in liver stiffness 44 weeks after the diagnosis of COVID-19 in comparison to pre-pandemic and pandemic controls.

Main pulmonary artery and right ventricular diameters on computed tomography (CT) scans of the thorax were predictors of pulmonary hypertension.