Residents who were given access to the AI-based decision support system reported feeling that the tool was useful in multiple clinical scenarios, and its use was overwhelmingly supported by those who provided feedback. 

Experts involved in the study suggested that the protocol could open doors leading to greater utilization of MRI in the future. 

With the software’s help, the ratio of CTs requiring radiologist review to missed findings identified was 10:1, experts shared, adding that without the help of AI that ratio would be at least 66:1. 

A new study shows artificial intelligence (AI) algorithms can more rapidly and objectively determine calcium scores in CT and PET/CT images than physicians.

Denoising using deep learning techniques can boost the performance of 1.5T MR brain imaging, resulting in quality comparable or superior to 3T imaging. 

Specifically, the computer-aided detection (CAD) tool is capable of identifying lesions that are less than 2 cm.

“We found that if you tune the classical methods, they can perform very well,” an expert involved in the research said.

In an effort to perhaps dissuade skepticism among medical students who are on the fence about the future of radiologists, experts in the field recently offered a detailed overview of the use of AI in imaging.