An AI model integrated into a retina tracker for diabetic retinopathy can achieve high accuracy while being resource-efficient.

To address these issues, this paper proposes an optimized detection model based on the FAST-YOLO network, exploring its application in pneumonia diagnosis using chest X-ray images.

Aims/introduction: Diabetic retinopathy (DR) often remains asymptomatic until it reaches advanced stages, when delayed treatment can lead to irreversible visual impairment. To promote timely ...

Artificial intelligence is transforming the detection of diabetic retinopathy, moving away from traditional machine learning models that rely on manually created features to deep learning methods that ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...