Hospital uses AI to slash MRI exam times | Experts call for Lung-RADS update | 'Deepfake' X-rays | Radiation safety shortcomings

Leaders at the hospital have equipped the radiology department’s MRI scanner with a new AI software that essentially fills in the blanks between image slices with synthetic images.

The quality of ultrasound exams depends highly on operator skill, but experts believe artificial intelligence could improve consistency considerably. 

Philips notified affected customers of the issue in early March, also sharing details on signs of potential system failures. 

The closed-loop digital platform is equipped with an intelligent scheduling algorithm and a dynamic report dispatching system.

New findings from a large CT lung cancer screening dataset reveal that a substantial number of patients have significant incidental findings visible on their scans. 

Experts are cautioning that these falsified images could have serious implications for radiologists in the future.

The Society of Interventional Radiology and others are calling for updated safety standards that reach beyond patients and take into account the occupational hazards faced during fluoroscopy. 

The recall is due to an issue with the software that could make the viewer vulnerable to security threats and data manipulation. 

“If we are not careful, we run the risk of spending more time admiring these novelty-driven tools than advancing the real frontiers of radiology.” 

An academic medical center struggling to meet CT report turnaround time benchmarks was recently able to improve its overnight efficiency by implementing a framework designed to streamline teleradiology requests.