AI-Powered Image Recognition Revolutionizes Aspergillus Species Identification: Insights from a Proof-of-Concept Study

Highlights

• AI-based image recognition, particularly using ResNet-18, achieved over 99% accuracy in identifying key Aspergillus species from colony images.
• The approach offers a rapid, cost-effective, and expertise-light alternative to conventional identification methods.
• Diagnostic performance correlates with the distinctiveness of morphological features in fungal colonies.
• This technology holds promise for wider adoption in routine clinical mycology after further validation and database expansion.

Study Background and Disease Burden