Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.
Biochemical evaluation for patients with incidentally detected enlarged parathyroid glands can prompt earlier diagnosis, according to new data in the American Journal of Roentgenology.
Signify Research senior analyst Amy Thompson explains the trend of connecting various departments to enterprise imaging systems. She said digital pathology may soon become the third largest user of these systems.
Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.
A CCTA-based radiomics method was recently found to be more accurate in identifying potentially problematic plaques than conventional CCTA anatomical parameters alone.
Recent developments in NLP technology have improved its ability to recognize semantics and context, making it more likely that NLP could generate coherent medical reports without radiologist assistance.
A new analysis compared the results of 39 published studies and nearly 50,000 patient cases to rank the performances of six different thyroid nodule stratification systems.
Experts involved in the new research suggest that identifying these spatiotemporal variations could play an important role in clinical research and precision medicine.
There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.
Virtual consultations help diminish the effects of reading room “chaos” owed to frequent interruptions, which can occur up to 27 times per hour for radiologists.
