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. 

The role of non-physician practitioners will inevitably continue to grow in healthcare, but how will their presence impact radiology?  

More than 500 clinical AI algorithms have now been cleared by the FDA, with the majority just in the past couple years.

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.

The human author reviewing the article wrote about the benefits and inherent risks of utilizing AI in a medical publication setting, concluding that, overall, it could be “a powerful tool” used in the future of medical publishing—when used with caution.