Notably, interpretation times fell from 10-65 seconds down to 6-27 seconds, researchers said Tuesday in Radiology.

The University of Texas Medical Branch and College of Health Care Professions kicked off the program in January and both sides see a bright future ahead.

The neural network performed well even when faced with low-quality images, German researchers reported in Skeletal Radiology.

Experts said all residency training needs to incorporate imaging courses and noted that primary care centers must have access to radiologists to ensure accuracy in emergency situations.

Algorithms were able to top imaging providers at grading the severity of pain on osteoarthritis scans, notably in African Americans.

Researchers have long-believed software that performed well on this deep learning model would automatically translate to improvements during medical imaging assignments.

The model can predict up to four days in advance if intensive care solutions may be needed.

The ACR and ASRT, among others, came out in support of the National Council on Radiation Protection and Measurement's new guidance, issued recently.