The large language model’s medical manuscripts are becoming so well constructed that it can be difficult to distinguish them from those compiled by humans. 

Online access to medical records has become standard practice, making sharing radiology reports and communicating findings much more streamlined.

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.

With resources stretched thin at many facilities, this type of feedback can often be limited.

Founded in 2016, the company employs over 200 radiologists, providing remote reads across multiple countries. 

Meta Llama 3—a newer open-source large language model—may soon be giving other LLMs a run for their money in the medical field.

American College of Radiology leader Dana Smetherman, MD, MBA, discusses the new technology trend and why radiologists should be paying attention. 

These measures could be utilized as an opportunistic screening tool in individuals who undergo routine health screenings.