The agency said Contec and Epsimed monitors connected via WiFi are particularly susceptible to cyberattack and could be used to gain access to hospital systems. 

Researchers estimate that it could cost less than $0.01 per report to use the large language model as a radiology report proofreader. 

Radiology researchers have developed and validated an automated program for tracking incidental imaging findings. The system facilitates communications between radiologists, patients and primary care providers whenever such findings turn up.  

The University of Pennsylvania in Philadelphia has aimed to tackle this conundrum, developing a deep learning-based image analysis tool and AI “orchestrator.” 

The cyberattack on University of Missouri Health Care’s systems happened in 2020 and affected 190,000 patients.

The last count submitted to HHS in October pegged the number at 100 million. Now that figure sits at 190 million, and the company continues its investigation. 

In a new clinical study, the model was able to maintain its performance on scans completed on different types of CT equipment across multiple medical centers.  

Phishing incidents were the most common type of attack on a healthcare entity, which is consistent with what's seen across all industries.