A United States-based Nigerian researcher, Oladele Ayomide Benjamen, has developed a low-cost artificial intelligence (AI) ...

Using computational tools, researchers from the Johns Hopkins Kimmel Cancer Center and the Johns Hopkins University School of Medicine have developed a method to predict which patients with a primary ...

Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor ...

Researchers @hopkinskimmel and @HopkinsMed develop methods to predict which #livercancer patients do best with combination ...

AI is transforming medical diagnosis by allowing earlier and more accurate disease detection. Machine learning models analyze images, lab results, and patient data at scale. Early detection enables ...

Abstract: Accurate and efficient brain tumor diagnosis remains a critical challenge in medical imaging. This study proposes a novel framework that integrates fuzzy logic-based segmentation with deep ...

Summary: Researchers have developed MovieNet, an AI model inspired by the human brain, to understand and analyze moving images with unprecedented accuracy. Mimicking how neurons process visual ...

Summary: AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance. Using convolutional neural networks and transfer learning ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

With the advancement of artificial intelligence (AI) and machine learning methods, many science and engineering challenges and problems can now be tackled and solved through new computing paradigms.

NYU Langone’s Department of Radiology seeks to transform the way artificial intelligence (AI) is used in medical imaging. We are at the forefront of the development, validation, and clinical ...