diagnostic

Upon comparing the results, the team found that the model achieved an average diagnostic accuracy that outperformed junior radiologists and remained competitive with senior radiologists.

“So they make it very difficult to get into the diagnostic systems of these devices to find out what's going wrong.”

According to the team, there are predictive, prognostic and diagnostic AI models and solutions that are becoming available for health care practitioners, but how they are used varies widely at different institutions.

Importantly, these findings could also open the door to new diagnostic tests and treatments for a range of other diseases, including certain cancers, Parkinson's, and Alzheimer's.

The findings, published in the journal PLoS Pathogens, provide the basis for further scientific research and have potential application to population screening and diagnostic tests.