Advances in cartilage imaging techniques, led by compositional MRI and CT arthrography, could improve early diagnosis and monitoring of rheumatic disease, with artificial intelligence accelerating ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...

The brain is responsible for the "general command" of human thinking and coordination of the body. Thus, various brain diseases can cause great damage to the human body and nervous system. Brain ...

At the intersection of AI and medical science, there is growing interest in using machine learning to enhance imaging data captured by magnetic resonance imaging (MRI) technology. Recent studies show ...

Bridging the digital literacy gap: Empowering patients and care partners through the Digital Sherpa program. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

Researchers from University of Science and Technology Beijing have proposed a new method for cardiac image segmentation. The work, published in Journal of Shanghai Jiao Tong University, showcased a ...

Novel Generative Recurrent Neural Network Framework to Produce Accurate, Applicable, and Deidentified Synthetic Medical Data for Patients With Metastatic Cancer Efforts to use growing volumes of ...