Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Multiple peer-reviewed studies have found that AI-generated fake medical images, including X-rays and mammograms, can deceive ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

Intervertebral disc anomalies, such as degeneration and herniation, are common causes of spinal disorders, often leading to chronic pain and disability. Accurate diagnosis and classification of these ...

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...

He was a busy session saxophonist, but he is probably best known for the Grammy-winning pop hit that he sang in 1963 as half of a duo act with his sister, April Stevens. By Daniel E. Slotnik Nino ...