Why radiologists won’t be replaced by deep learning | How to implement abbreviated protocols into practice

As researchers continue to make significant advances with artificial intelligence (AI) and deep learning, has the time come for radiologists to be concerned about their jobs?

The high sensitivity associated with breast MRI makes it an effective tool for detecting breast cancer, but the costs and long acquisition times have kept it from being embraced as a supplemental screening option.

GE Healthcare’s Deep Learning Image Reconstruction (DLIR) engine, designed to be used with its Revolution Apex CT solution, has gained FDA clearance.

The American Society of Radiologic Technologists (ASRT) has announced the recipients of its Radiologic Technology Distinguished Author Award in honor of Jean I. Widger and Radiation Therapist Distinguished Author Award in honor of Harold Silverman.

Allowing patients to communicate directly with radiologists through an online portal helps them stay informed and feel more engaged, according to a case study published in the Journal of the American College of Radiology.

Clinical decision support (CDS) systems can play a role in reducing unnecessary imaging orders, according to a study published in PLOS ONE. However, the authors noted, the reduction may be relatively modest.

Publishing direct-to-consumer pricing would allow competitive comparison of real rates. In radiology, this means getting the information to patients both directly and through ordering physicians.