Researchers at UTS have developed an AI system that detects COVID-19 from chest X-rays with over 98% accuracy.

The AI uses a deep learning-based algorithm, Custom-CNN, to distinguish between COVID-19 cases, normal cases, and pneumonia.

The technology could be especially beneficial in areas with a shortage of radiologists and high levels of COVID-19 cases.

The AI system eliminates the need for manual examination by radiologists, providing a faster and more accurate diagnosis.

The Custom-CNN model outperforms other AI diagnostic models.

This advancement is a significant step in combatting the pandemic and could transform the landscape of COVID-19 diagnosis and management.