Diagnostic and evidential static image, video clip, and sound multimedia are captured
during routine clinical care in cardiology, dermatology, ophthalmology, pathology, physiatry …

Artificial intelligence (AI) will reshape radiology over the coming years. The radiology
community has a strong history of embracing new technology for positive change, and AI is …

The 2018 RSNA Summit on AI in Radiology brought together a diverse group of
stakeholders to identify and prioritize areas of need related to artificial intelligence in …

Purpose While MRI has become the imaging modality of choice in the diagnosis of sellar
tumors, no systematic attempt has yet been made to align radiological reporting of findings …

Objective There is considerable variability among radiologists when grading spinal canal
and foraminal stenosis on MRI. However, to date, studies have not evaluated radiologists' …

Head and neck imaging is a crossroad for many medical specialties, ranging from
otolaryngology, radiology, pathology, oncology, radiation oncology, to primary care. The …

Although medical imaging is not routinely deployed in the day-to-day structure of mental
health care delivery, physicians and other healthcare providers are at a tipping point where …

Spinal fractures are an important cause of morbidity and mortality in patients experiencing
trauma. Identifying the significance of each fracture type and its prognosis is vital. Many …

Quantification of imaging features can assist radiologists by reducing subjectivity, aiding
detection of subtle pathology, and increasing reporting consistency. Translation of …

As imaging increases in complexity, we need new structures to capture, store, transmit, and
discover the observations that result from imaging studies. As reporting culture shifts …