Digital X-Ray Insider

Dear Digital X-Ray Insider,

Chest x-ray is a common preliminary test for lung cancer, yet actionable radiological findings are difficult to detect in the early stages of the disease. In these cases, artificial intelligence (AI) may be able not only to identify what humans can't see but also estimate mortality risks for patients based on a single x-ray, according to a group in Boston. The story on the research is this edition's Insider Exclusive.

AI research has been dominating our coverage. For instance, a group from the University of Michigan offered strategies for using AI with chest x-rays to detect acute respiratory distress syndrome, while a group in Seoul, South Korea, developed an AI tool for placing endotracheal tubes in pediatric patients.

One standout AI story concerned ChatGPT-4, the latest version of Open.AI's chatbot released in March. In a study, the large language model (LLM) passed a multiple-choice radiology board-type exam. We talked to lead author Dr. Rajesh Bhayana of the University of Toronto and asked, "Will ChatGPT be the smartest doctor in the world one day?" Check out the interview.

LLMs were the focus of other research we recently covered, with a group in Boston suggesting one could be used as a tool to identify reports in electronic health record systems that contain recommendations for additional imaging.

And here are a few more AI stories:

Speaking of portable chest x-ray, a group led by the Janna Health Foundation recently organized screening camps in Northeast Nigeria and found that ultraportable systems equipped with AI can help identify patients with tuberculosis.

Finally, we noted a world record was achieved for portable x-ray -- Mike Cairnie (described by a colleague as "the Indiana Jones of Radiology") earned one for acquiring a portable chest x-ray while on Mt. Everest in Nepal.

That's all for now. Be sure to check back often for more news in your Digital X-Ray Community.

Page 1 of 63
Next Page