Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s Board of Directors, explains how the radiology group orchestrates its work lists for load balancing using an AI-driven IT system for its work lists.

Combining ensemble AI models with reads from breast radiologists of mixed experience levels can help health systems consistently diagnose malignant architectural distortion on mammography.

Lisa Mead, PSO executive director, Strategic Radiology, spoke at the Radiology Business Management Association (RBMA) 2022 meeting on radiology practices being prepared for the January 2023 deadline to have appropriate use criteria clinical decision support (AUC/CDS) software operational. 

A new study found embedding videos in radiology reports aimed at patients had a big impact and may improve radiologist communication with patients. 

Most radiological hardware and software systems now offer gender options beyond female/male classification, a recent analysis shows. 

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.