Research Keyword: infection diagnosis

Assessing the Validity and Impact of Remote Digital Image Reading in Fungal Diagnostics

This study tested whether trained mycologists could accurately identify fungal infections from digital images viewed remotely, similar to how radiologists review X-rays. Five experienced laboratory professionals analyzed 474 images of different fungi with accuracy rates between 78-93%. The results suggest that remote digital diagnosis could help hospitals in developing countries where expert mycologists are scarce, enabling faster and more accurate diagnosis of serious fungal infections.

Read More »
Scroll to Top