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This study examined the application of GPT-4 with vision (GPT-4V), a multimodal large language model with visual recognition, in detecting radiologic findings from a set of 100 chest radiographs and suggests that GPT-4V is currently not ready for real-world diagnostic usage in interpreting chest radiographs.

The RSNA International COVID-19 Open Radiology Database, or RICORD, is the first multi-institutional, multinational, expert-annotated coronavirus disease 2019 imaging data set made freely available and designed for the machine learning community.

The RSNA Pediatric Bone Age Machine Learning Challenge showed the application of machine learning in medical imaging, promoted ways in which these emerging tools and methods can improve diagnostic care, and identified innovators in machine learning applications in medical imaging.

The aim of the study was to investigate the feasibility of using ultrasound shear wave elastography to quantify mechanical properties and movement symmetry of false vocal folds positioned in adduction and abduction. We prospectively measured the shear wave velocity (SWV) within the bilateral false vocal folds in 10 healthy adults using acoustic radiation force impulse imaging. From a transcutaneous approach at the level of thyroid cartilage, 5 SWV measurements were obtained within each side of the false vocal folds twice in adduction and again in abduction for each participant. Configuration‐related differences in the SWV within false vocal folds were compared between adduction and abduction, in addition to differences between the right and left false vocal folds and between men and women, by a paired ttest. We developed an SWV index [(SWVgreater– SWVlesser)/SWVgreater] to assess movement symmetry between the right and left false vocal folds. Intraobserver agreement on repeated measures was examined by the intraclass correlation coefficient. The 10 participants included 5 men and 5 women. We observed that the SWV within false vocal folds was significantly higher in adduction than in abduction (P< .001). The SWV within false vocal folds in adduction was also significantly higher in women compared to men (P< .001). There was no significant difference in the SWV between the right and left false vocal folds in adduction or in abduction or between men and women in abduction (P> .05). The mean SWV index was 0.05 (range, 0.03–0.07). The intraclass correlation coefficient for intraobserver agreement was 0.89 (P< .001). Shear wave elastography seems to be feasible to quantify mechanical properties and evaluate the symmetry of false vocal folds in healthy adults.

Dentate signal intensity ratios decreased with time after switching from a linear (gadopentetate dimeglumine) to a macrocyclic (gadobutrol) agent.

Increased signal intensity on unenhanced T1-weighted MR images in the dentate nucleus, globus pallidus, posterior thalamus, substantia nigra, red nucleus, cerebellar peduncles, and colliculi may relate to gadolinium-based contrast agent (GBCA) administration in patients who receive many GBCA administrations.

Radiologist-generated impressions from radiology report findings outperformed GPT4-generated ones in coherence, comprehensiveness, and factual consistency, highlighting areas for future AI improvements in radiology report generation.

We present information about how to securely implement mobile devices in a medical setting, including authentication procedures to protect access to the device, protecting data on the device, protecting the transmission of information to the device, and protecting the operating system and software from malicious software.