Health systems need to trust that artificial intelligence-based reports are accurate and complete. 

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

Healthcare AI continues its march into clinical departments as well as imaging activities. In the process, it’s only multiplying break-and-entry points seductive to cybercriminals.

The program leverages the in-context learning abilities of large language models to generate report summaries using domain-specific, individualized data relative to radiology.

After previewing the new software in September, Rad AI will make it commercially available throughout the United States at RSNA 2023 in Chicago.

A Journal of the American College of Radiology study details how one radiology department  implemented NLP software to resolve inadvertent discordance between physicians and an AI decision support system.

Synoptic radiology reports with detailed information on disease sites in ovarian cancer could help to guide surgical decisions, but they can come at a cost.

With proper training, large language models could help address inappropriate imaging referrals, which are common in EDs, experts write in the Journal of the American College of Radiology.