To investigate the brain aging in patients with cirrhosis and hepatic encephalopathy(HE), constructed a prediction model of brain age based on deep learning and T high-resolution MRI, and try to reveal the specific regions where cirrhosis and HE acc...
Alcohol and alcoholism (Oxford, Oxfordshire)
Jan 17, 2024
BACKGROUND: Music is an integral part of our lives and is often played in public places like restaurants. People exposed to music that contained alcohol-related lyrics in a bar scenario consumed significantly more alcohol than those exposed to music ...
Clinical cancer research : an official journal of the American Association for Cancer Research
Jan 5, 2024
PURPOSE: We aimed to develop and validate a deep learning (DL) model to automatically segment posterior fossa ependymoma (PF-EPN) and predict its molecular subtypes [Group A (PFA) and Group B (PFB)] from preoperative MR images.
Journal of the American College of Cardiology
Jan 2, 2024
Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visualization of complex cardiac anatomy and improved assessment of physiology. These advances have become increasingly important as more complex surgical...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Machine learning (ML) algorithms play a crucial role in the early and accurate diagnosis of Alzheimer's Disease (AD), which is essential for effective treatment planning. However, existing methods are not well-suited for identifying Mild Cognitive Im...
Nihon Hinyokika Gakkai zasshi. The japanese journal of urology
Jan 1, 2024
A 35-year-old man visited a local doctor for continuing analysis of his infertility. Semen analysis revealed azoospermia while an ultrasonography detected a right testicular tumor with a diameter of 10 mm. A blood test was negative for tumor markers....
Technology in cancer research & treatment
Jan 1, 2024
INTRODUCTION: Since the response of patients with rectal cancer (RC) to neoadjuvant therapy is highly variable, there is an urgent need to develop accurate methods to predict the post-treatment T (pT) stage. The purpose of this study was to evaluate ...
BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, posing a significant challenge for individuals and society. Early detection and treatment are essential for effective disease managem...
BACKGROUND: Three-dimensional (3D) whole-heart magnetic resonance imaging (MRI) is an excellent tool to check the heart anatomy of patients with congenital and acquired heart disease. However, most 3D whole-heart MRI acquisitions take a long time to ...
INTRODUCTION: Multimodal medical image fusion techniques play an important role in clinical diagnosis and treatment planning. The process of combining multimodal images involves several challenges depending on the type of modality, transformation tec...
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