Latest AI and machine learning research in geriatrics for healthcare professionals.
INTRODUCTION: Most people with Alzheimer's disease and related dementia (ADRD) also suffer from two ...
PURPOSE: MRI is essential in the management of brain tumours. However, long waiting times reduce pat...
The identification of diagnostic and therapeutic biomarkers for Alzheimer's Disease (AD) remains a c...
Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term foll...
BACKGROUND: Radiographic diagnosis of necrotizing enterocolitis (NEC) is challenging. Deep learning ...
Electroencephalograph (EEG) brain-computer interfaces (BCI) have potential to provide new paradigms ...
Tensor-based representations are being increasingly used to represent complex data types such as ima...
Generative AI (GenAI) is a disruptive technology likely to generate a major impact on faculty and le...
The journey of drug discovery (DD) has evolved from ancient practices to modern technology-driven ap...
BACKGROUND: The coronavirus pandemic that started in 2019 has caused the highest mortality and morbi...
The Drosophila model is pivotal in deciphering the pathophysiological underpinnings of various human...
Alzheimer's disease (AD) is a neurodegenerative disorder that can cause a significant impairment in ...
Education plays a pivotal role in alleviating poverty, driving economic growth, and empowering indiv...
This study addresses the challenge of accurately diagnosing sepsis subtypes in elderly patients, par...
Age-related macular degeneration (AMD) is an eye disease that leads to the deterioration of the cent...
OBJECTIVE: To investigate the feasibility and accuracy of predicting locoregional recurrence (LR) in...
PURPOSE: The main objective of this study is to assess the possibility of using radiomics, deep lear...
OBJECTIVE: this study was to analyze the brain functional network of end-of-dose wearing-off (EODWO)...
BACKGROUND: Prior studies have suggested a potential relationship between osteoporosis and sarcopeni...
The end-to-end process in the discovery of drugs involves therapeutic candidate identification, vali...
Deep Neural Networks (DNNs) based semantic segmentation of the robotic instruments and tissues can e...