Though the study of AI in lung cancer screening is not new, prior research has been retrospective in nature, making it challenging to determine the impact. 

“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.” 

The model was trained on guideline-adherent data specific to clinical scenarios that would prompt a provider to order medical imaging. 

AI in medical imaging market analyst Umar Ahmed from Signify Research explains some of the key trends seen in radiology artificial intelligence. 

“With generative AI becoming more capable of producing remarkably convincing radiology reports, there’s a greater risk of fabricated reports being used to falsify medical histories and support fraudulent claims,” the team cautioned.

Mass General experts have created a program to pinpoint intimate partner violence, using inputs including radiology reports, imaging and diagnoses to aid in detection. 

However, physicians are expressing reservations about letting patients use the technology to interpret their radiology results, according to a new survey. 

That's according to findings from the largest NHS study on the use of AI in breast cancer screening settings to date. 

A team of legal and medical experts conducted a mock trial that entailed a series of hypothetical cases involving AI, sharing their findings in Nature Health. 

Since breast cancer screening exams are routinely completed annually or bi-annually, experts believe the tool could help spot signs of developing cardiovascular disease prior to it progressing.